filename
string | title
string | abstract
string | pred_lin
sequence | prompt
string |
|---|---|---|---|---|
3A1647760844.jsonld | Genomics in Endocrinology : DNA Microarray Analysis in Endocrine Health and Disease | Genomics in Endocrinology focuses on exciting new advances in endocrinology resulting from DNA microarray studies and includes a comprehensive introduction to the use of DNA microarrays in endocrinology. The text provides the basis for further understanding of the usefulness of microarray analyses in endocrinology research. Topics discussed include the methodology of DNA microarrays and general methods for the analysis of microarray data. In recent years, the development of new technologies capable of monitoring genome function has resulted in fewer hopeful estimates and increasingly solid depictions of genome output from individual samples. Genomics in Endocrinology focuses on exciting new advances in endocrinology resulting from DNA microarray studies and includes a comprehensive introduction to the use of DNA microarrays in endocrinology. The volume provides the basis for further understanding of the usefulness of microarray analyses in endocrinology research. Topics discussed are the methodology of DNA microarrays and general methods for the analysis of microarray data, as well as studies of a wide variety of normal and abnormal endocrine cells. In the introductory chapter, the volumes editors describe several issues in hypothesis formulation, experimental design, data analysis, and follow-up studies that may corroborate, validate, and extend hypotheses gained through microarray analyses. The contributed chapters span a variety of applications that we have divided into the areas of (1) genomic insights into molecular mechanisms responsible for hormone action, (2) genomic characterizations of endocrine producing tissues, and (3) genomic manifestations of diseases of hormonal systems. A volume on the cutting-edge of technology, Genomics in Endocrinology will provide researchers with an authoritative volume on the most recent advances in monitoring genome function. | [
"['meda']",
"['bio']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Genomics in Endocrinology : DNA Microarray Analysis in Endocrine Health and Disease
- Document Abstract: Genomics in Endocrinology focuses on exciting new advances in endocrinology resulting from DNA microarray studies and includes a comprehensive introduction to the use of DNA microarrays in endocrinology. The text provides the basis for further understanding of the usefulness of microarray analyses in endocrinology research. Topics discussed include the methodology of DNA microarrays and general methods for the analysis of microarray data. In recent years, the development of new technologies capable of monitoring genome function has resulted in fewer hopeful estimates and increasingly solid depictions of genome output from individual samples. Genomics in Endocrinology focuses on exciting new advances in endocrinology resulting from DNA microarray studies and includes a comprehensive introduction to the use of DNA microarrays in endocrinology. The volume provides the basis for further understanding of the usefulness of microarray analyses in endocrinology research. Topics discussed are the methodology of DNA microarrays and general methods for the analysis of microarray data, as well as studies of a wide variety of normal and abnormal endocrine cells. In the introductory chapter, the volumes editors describe several issues in hypothesis formulation, experimental design, data analysis, and follow-up studies that may corroborate, validate, and extend hypotheses gained through microarray analyses. The contributed chapters span a variety of applications that we have divided into the areas of (1) genomic insights into molecular mechanisms responsible for hormone action, (2) genomic characterizations of endocrine producing tissues, and (3) genomic manifestations of diseases of hormonal systems. A volume on the cutting-edge of technology, Genomics in Endocrinology will provide researchers with an authoritative volume on the most recent advances in monitoring genome function.
- Document LIN Search class: ['meda'], ['bio']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1744946833.jsonld | Core words for classroom and home : developing verbal communication skills and augmentative and alternative communication (AAC) abilities : a practical guide for parents, teachers, and speech-language pathologists | "The program focuses on the most commonly used words for creating sentences (core words) and incorporates literacy, games, writing, art, and cooking activities that work within the home, school, and clinical settings. Included are parent and teacher guides to help with prompting communication skills, using AAC, and understanding specific strategies for optimum communication. As an added feature, each core word is pictured in American Sign Language (ASL). "--page 4 of cover | [
"['lin']",
"['pae']",
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Core words for classroom and home : developing verbal communication skills and augmentative and alternative communication (AAC) abilities : a practical guide for parents, teachers, and speech-language pathologists
- Document Abstract: "The program focuses on the most commonly used words for creating sentences (core words) and incorporates literacy, games, writing, art, and cooking activities that work within the home, school, and clinical settings. Included are parent and teacher guides to help with prompting communication skills, using AAC, and understanding specific strategies for optimum communication. As an added feature, each core word is pictured in American Sign Language (ASL). "--page 4 of cover
- Document LIN Search class: ['lin'], ['pae'], ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1635940508.jsonld | How to be an academic superhero : establishing and sustaining a successful career in the social sciences, arts and humanities | In universities across the world, academics struggle to establish and sustain their careers while satisfying intensifying institutional demands. Drawing from the author's decades of observation and experience in academia, this exceptional book responds to the challenges of fostering a successful academic career. Featuring an overarching focus on holistic career development as well as specific chapters on mentorship, networking, job applications and interviews, publishing, funding and more, this book guides readers through their prospective academic careers while offering informed and compassionate advice and insights. While the book is organized chronologically, providing early-, mid- and late-career guidance, the issues and challenges discussed can be addressed continuously and sometimes simultaneously across an academic's professional life. In a straightforward and engaging style, How to be an Academic Superhero offers realistic, practical advice for anyone contemplating or developing an academic career in the social sciences, arts or humanities. Career mentors looking for a useful and accessible instructional resource will also find it to be of value | [
"['pae']",
"['sow']",
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: How to be an academic superhero : establishing and sustaining a successful career in the social sciences, arts and humanities
- Document Abstract: In universities across the world, academics struggle to establish and sustain their careers while satisfying intensifying institutional demands. Drawing from the author's decades of observation and experience in academia, this exceptional book responds to the challenges of fostering a successful academic career. Featuring an overarching focus on holistic career development as well as specific chapters on mentorship, networking, job applications and interviews, publishing, funding and more, this book guides readers through their prospective academic careers while offering informed and compassionate advice and insights. While the book is organized chronologically, providing early-, mid- and late-career guidance, the issues and challenges discussed can be addressed continuously and sometimes simultaneously across an academic's professional life. In a straightforward and engaging style, How to be an Academic Superhero offers realistic, practical advice for anyone contemplating or developing an academic career in the social sciences, arts or humanities. Career mentors looking for a useful and accessible instructional resource will also find it to be of value
- Document LIN Search class: ['pae'], ['sow'], ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1690998547.jsonld | Multiphysics modeling with application to biomedical engineering | "The aim of this book is to introduce the simulation of various physical fields and their applications for biomedical engineering, which will provide a base for researchers in the biomedical field to conduct further investigation. The entire book is classified into three levels. It starts with the first level, which presents the single physical fields including structural analysis, fluid simulation, thermal analysis, and acoustic modeling. Then, the second level consists of various couplings between two physical fields covering structural thermal coupling, porous media, fluid structural interaction (FSI), and acoustic FSI. The third level focuses on multi-coupling that coupling with more than two physical fields in the model. Each part in all levels is organized as the physical feature, finite element implementation, modeling procedure in ANSYS, and the specific applications for biomedical engineering like the FSI study of Abdominal Aortic Aneurysm (AAA), acoustic wave transmission in the ear, and heat generation of the breast tumor. The book should help for the researchers and graduate students conduct numerical simulation of various biomedical coupling problems. It should also provide all readers with a better understanding of various couplings"-- | [
"['meda']",
"['med']",
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Multiphysics modeling with application to biomedical engineering
- Document Abstract: "The aim of this book is to introduce the simulation of various physical fields and their applications for biomedical engineering, which will provide a base for researchers in the biomedical field to conduct further investigation. The entire book is classified into three levels. It starts with the first level, which presents the single physical fields including structural analysis, fluid simulation, thermal analysis, and acoustic modeling. Then, the second level consists of various couplings between two physical fields covering structural thermal coupling, porous media, fluid structural interaction (FSI), and acoustic FSI. The third level focuses on multi-coupling that coupling with more than two physical fields in the model. Each part in all levels is organized as the physical feature, finite element implementation, modeling procedure in ANSYS, and the specific applications for biomedical engineering like the FSI study of Abdominal Aortic Aneurysm (AAA), acoustic wave transmission in the ear, and heat generation of the breast tumor. The book should help for the researchers and graduate students conduct numerical simulation of various biomedical coupling problems. It should also provide all readers with a better understanding of various couplings"--
- Document LIN Search class: ['meda'], ['med'], ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1736846833.jsonld | We are not users : dialogues, diversity, and design | A call to reclaim and rethink the field of designing as a liberal art where diverse voices come together to shape the material world. | [
"['rest']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: We are not users : dialogues, diversity, and design
- Document Abstract: A call to reclaim and rethink the field of designing as a liberal art where diverse voices come together to shape the material world.
- Document LIN Search class: ['rest']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1664825622.jsonld | Empirical studies of the construction of discourse | Inhaltsverzeichnis: Introduction / Óscar Loureda, Inés Recio Fernández, Adriana Cruz and Laura Nadal -- Part I. Corpus-based studies: 1. Challenges in the contrastive study of discourse markers: the case of then / Karin Aijmer -- 2. Local vs. global scope of discourse markers: Corpus-based evidence from syntax and co-occurring pauses / Ludivine Crible -- 3. Prosodic versatility, hierarchical rank and pragmatic function in conversational markers / Antonio Hidalgo Navarro and Diana Martínez Hernández -- 4. A preliminary typology of interactional figures based on a tool for visualizing conversational structure / Guadalupe Espinosa-Guerri and Amparo García-Ramón -- 5. Causal relations between discourse and grammar: Because in spoken French and Dutch / Liesbeth Degand -- 6. A corpus-based comparative study of concessive connectives in English, German and Spanish: The distribution of although, obwohl and aunque in the Europarl corpus / Volker Gast -- Part II. Experiment-based studies: 7. Processing patterns of focusing in Spanish / Adriana Cruz and Óscar Loureda -- 8. Expectation changes over time: How long it takes to process focus imposed by German sogar / Johannes Gerwien and Martha Rudka -- 9. Processing implicit and explicit causality in Spanish / Laura Nadal and Inés Recio Fernández -- Part III. Combined approaches: 10. Subjectivity and Causality in discourse and cognition: Evidence from corpus analyses, acquisition and processing / Ted J. M. Sanders and Jacqueline Evers-Vermeul -- 11. Causal connectives revisited: A corpus and experimental investigation of result discourse markers in English / Marta Andersson. | [
"['lin']",
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Empirical studies of the construction of discourse
- Document Abstract: Inhaltsverzeichnis: Introduction / Óscar Loureda, Inés Recio Fernández, Adriana Cruz and Laura Nadal -- Part I. Corpus-based studies: 1. Challenges in the contrastive study of discourse markers: the case of then / Karin Aijmer -- 2. Local vs. global scope of discourse markers: Corpus-based evidence from syntax and co-occurring pauses / Ludivine Crible -- 3. Prosodic versatility, hierarchical rank and pragmatic function in conversational markers / Antonio Hidalgo Navarro and Diana Martínez Hernández -- 4. A preliminary typology of interactional figures based on a tool for visualizing conversational structure / Guadalupe Espinosa-Guerri and Amparo García-Ramón -- 5. Causal relations between discourse and grammar: Because in spoken French and Dutch / Liesbeth Degand -- 6. A corpus-based comparative study of concessive connectives in English, German and Spanish: The distribution of although, obwohl and aunque in the Europarl corpus / Volker Gast -- Part II. Experiment-based studies: 7. Processing patterns of focusing in Spanish / Adriana Cruz and Óscar Loureda -- 8. Expectation changes over time: How long it takes to process focus imposed by German sogar / Johannes Gerwien and Martha Rudka -- 9. Processing implicit and explicit causality in Spanish / Laura Nadal and Inés Recio Fernández -- Part III. Combined approaches: 10. Subjectivity and Causality in discourse and cognition: Evidence from corpus analyses, acquisition and processing / Ted J. M. Sanders and Jacqueline Evers-Vermeul -- 11. Causal connectives revisited: A corpus and experimental investigation of result discourse markers in English / Marta Andersson.
- Document LIN Search class: ['lin'], ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A866895515.jsonld | Butterfly in the quantum world : the story of the most fascinating quantum fractal | Butterfly in the Quantum World is the first book ever to tell the story of the "Hofstadter butterfly", a beautiful and fascinating graph lying at the heart of the quantum theory of matter. The butterfly came out of a simple-sounding question: What happens if you immerse a crystal in a magnetic field? What energies can the electrons take on? From 1930 onwards, physicists struggled to answer this question, until 1974, when graduate student Douglas Hofstadter discovered that the answer was a graph consisting of nothing but copies of itself nested down infinitely many times. This wild mathematical object caught the physics world totally by surprise, and it continues to mesmerize physicists and mathematicians today. The butterfly plot is intimately related to many other important phenomena in number theory and physics, including Apollonian gaskets, the Foucault pendulum, quasicrystals, the quantum Hall effect, and many more. Its story reflects the magic, the mystery, and the simplicity of the laws of nature, and Indu Satija, in a wonderfully personal style, relates this story, enriching it with a vast number of lively historical anecdotes, many photographs, beautiful visual images, and even poems, making her book a great feast, for the eyes, for the mind and for the soul. | [
"['phy']",
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Butterfly in the quantum world : the story of the most fascinating quantum fractal
- Document Abstract: Butterfly in the Quantum World is the first book ever to tell the story of the "Hofstadter butterfly", a beautiful and fascinating graph lying at the heart of the quantum theory of matter. The butterfly came out of a simple-sounding question: What happens if you immerse a crystal in a magnetic field? What energies can the electrons take on? From 1930 onwards, physicists struggled to answer this question, until 1974, when graduate student Douglas Hofstadter discovered that the answer was a graph consisting of nothing but copies of itself nested down infinitely many times. This wild mathematical object caught the physics world totally by surprise, and it continues to mesmerize physicists and mathematicians today. The butterfly plot is intimately related to many other important phenomena in number theory and physics, including Apollonian gaskets, the Foucault pendulum, quasicrystals, the quantum Hall effect, and many more. Its story reflects the magic, the mystery, and the simplicity of the laws of nature, and Indu Satija, in a wonderfully personal style, relates this story, enriching it with a vast number of lively historical anecdotes, many photographs, beautiful visual images, and even poems, making her book a great feast, for the eyes, for the mind and for the soul.
- Document LIN Search class: ['phy'], ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A862823404.jsonld | Atlantic bonds : a nineteenth-century odyssey from America to Africa | "A decade before the American Civil War, James Churchwill Vaughan (1828-93) set out to fulfill his formerly enslaved father's dying wish: that he should leave his home in South Carolina for a new life in Africa. He traveled first to Liberia, then with Southern Baptist missionaries to "Yoruba country." Over the next forty years in today's southwestern Nigeria, Vaughan was taken captive, served as a military sharpshooter, built and re-built a livelihood, led a revolt against white racism, and founded a family of activists"-- | [
"['his']",
"['sow']",
"['rel']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Atlantic bonds : a nineteenth-century odyssey from America to Africa
- Document Abstract: "A decade before the American Civil War, James Churchwill Vaughan (1828-93) set out to fulfill his formerly enslaved father's dying wish: that he should leave his home in South Carolina for a new life in Africa. He traveled first to Liberia, then with Southern Baptist missionaries to "Yoruba country." Over the next forty years in today's southwestern Nigeria, Vaughan was taken captive, served as a military sharpshooter, built and re-built a livelihood, led a revolt against white racism, and founded a family of activists"--
- Document LIN Search class: ['his'], ['sow'], ['rel']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1651553076.jsonld | Wills' mineral processing technology : an introduction to the practical aspects of ore treatment and mineral recovery | Wills' Mineral Processing Technology provides practising engineers and students of mineral processing, metallurgy and mining with a review of all of the common ore-processing techniques utilized in modern processing installations. Now in its Seventh Edition, this renowned book is a standard reference for the mineral processing industry. Chapters deal with each of the major processing techniques, and coverage includes the latest technical developments in the processing of increasingly complex refractory ores, new equipment and process routes. This new edition has been prepared by the prestigious J K Minerals Research Centre of Australia, which contributes its world-class expertise and ensures that this will continue to be the book of choice for professionals and students in this field. This latest edition highlights the developments and the challenges facing the mineral processor, particularly with regard to the environmental problems posed in improving the efficiency of the existing processes and also in dealing with the waste created. The work is fully indexed and referenced. The classic mineral processing text, revised and updated by a prestigious new team Provides a clear exposition of the principles and practice of mineral processing, with examples taken from practice Covers the latest technological developments and highlights the challenges facing the mineral processor New sections on environmental problems, improving the efficiency of existing processes and dealing with waste Introduction; Ore Handling; Metallurgical Accounting, Control and Simulation; Particle Size Analysis; Comminution; Crushers; Grinding Mills; Industrial Screening; Classification; Gravity Concentration; Dense Medium Separation (DMS); Froth Flotation; Magnetic and High Tension Separation; Ore Sorting; Dewatering; Tailings Disposal; Appendices; Index | [
"['ber']",
"['cet']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Wills' mineral processing technology : an introduction to the practical aspects of ore treatment and mineral recovery
- Document Abstract: Wills' Mineral Processing Technology provides practising engineers and students of mineral processing, metallurgy and mining with a review of all of the common ore-processing techniques utilized in modern processing installations. Now in its Seventh Edition, this renowned book is a standard reference for the mineral processing industry. Chapters deal with each of the major processing techniques, and coverage includes the latest technical developments in the processing of increasingly complex refractory ores, new equipment and process routes. This new edition has been prepared by the prestigious J K Minerals Research Centre of Australia, which contributes its world-class expertise and ensures that this will continue to be the book of choice for professionals and students in this field. This latest edition highlights the developments and the challenges facing the mineral processor, particularly with regard to the environmental problems posed in improving the efficiency of the existing processes and also in dealing with the waste created. The work is fully indexed and referenced. The classic mineral processing text, revised and updated by a prestigious new team Provides a clear exposition of the principles and practice of mineral processing, with examples taken from practice Covers the latest technological developments and highlights the challenges facing the mineral processor New sections on environmental problems, improving the efficiency of existing processes and dealing with waste Introduction; Ore Handling; Metallurgical Accounting, Control and Simulation; Particle Size Analysis; Comminution; Crushers; Grinding Mills; Industrial Screening; Classification; Gravity Concentration; Dense Medium Separation (DMS); Froth Flotation; Magnetic and High Tension Separation; Ore Sorting; Dewatering; Tailings Disposal; Appendices; Index
- Document LIN Search class: ['ber'], ['cet']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1659251079.jsonld | Contemporary issues in bank financial management | Contemporary Issues in Financial Services special edition includes studies by the University of Malta, MSc Banking and Finance graduates and the respective lecturers, on financial services within particular countries or regions and studies of particular themes such as credit risk management, fund management and evaluation, forex hedging using derivatives and sovereign fixed income portfolios. | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Contemporary issues in bank financial management
- Document Abstract: Contemporary Issues in Financial Services special edition includes studies by the University of Malta, MSc Banking and Finance graduates and the respective lecturers, on financial services within particular countries or regions and studies of particular themes such as credit risk management, fund management and evaluation, forex hedging using derivatives and sovereign fixed income portfolios.
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1032655321.jsonld | Antibody engineering : methods and protocols | This detailed new edition provides complete and easy access to a variety of antibody engineering techniques. This detailed new edition provides complete and easy access to a variety of antibody engineering techniques. The volume explores topics such as the generation of native, synthetic, or immune antibody libraries, the selection of lead candidates via the different powerful and innovative display technologies, Fc engineering, as well as their production, characterization, and optimization of antibodies. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Antibody Engineering: Methods and Protocols, Third Edition presents the reader with an extensive toolbox to create the powerful molecules of tomorrow. | [
"['bio']",
"['che']",
"['cet']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Antibody engineering : methods and protocols
- Document Abstract: This detailed new edition provides complete and easy access to a variety of antibody engineering techniques. This detailed new edition provides complete and easy access to a variety of antibody engineering techniques. The volume explores topics such as the generation of native, synthetic, or immune antibody libraries, the selection of lead candidates via the different powerful and innovative display technologies, Fc engineering, as well as their production, characterization, and optimization of antibodies. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Antibody Engineering: Methods and Protocols, Third Edition presents the reader with an extensive toolbox to create the powerful molecules of tomorrow.
- Document LIN Search class: ['bio'], ['che'], ['cet']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1879441136.jsonld | China's trade and investment after the Asia crisis | China is both the world's most populous country and an important transition economy. It is also a major market for trade and investment. As such, this study of the trends, patterns, issues and problems of trade and investment in recent years is both vital and fascinating. Areas of discussion and analysis in this book include China's trade in a globalized economy, foreign investment after the Asia crisis, the WTO and regional economic development, along with discussion about the relationships with Hong Kong and Australia. Written by nationally and internationally respected experts on the Chinese economy, the book brings together a collection of timely and significant studies on China's trade and investment. The book will be essential reading for scholars of modern China, its economic development and the direction in which it will evolve in the 21st century. Important practical policy implications are reached for use by government, business and academics | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: China's trade and investment after the Asia crisis
- Document Abstract: China is both the world's most populous country and an important transition economy. It is also a major market for trade and investment. As such, this study of the trends, patterns, issues and problems of trade and investment in recent years is both vital and fascinating. Areas of discussion and analysis in this book include China's trade in a globalized economy, foreign investment after the Asia crisis, the WTO and regional economic development, along with discussion about the relationships with Hong Kong and Australia. Written by nationally and internationally respected experts on the Chinese economy, the book brings together a collection of timely and significant studies on China's trade and investment. The book will be essential reading for scholars of modern China, its economic development and the direction in which it will evolve in the 21st century. Important practical policy implications are reached for use by government, business and academics
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1025626788.jsonld | Afterlife of the Theatre of the Absurd : the avant-gard, spectatorship, and psychoanalysis | "In 1961, Martin Esslin named a body of plays that lacked plot, character depth, and details of time and space the 'Theatre of the Absurd'. Esslin explained that this type of theatre, minimalist in the extreme, constituted a response to the existential crisis of Europe, which was in the midst of recovering from World War II. But the fact that this body of theatre lacked details of time and space means that we may break the ties that anchor the Theatre of the Absurd irremediably to the historical context of post-World War II Europe. How can the Theatre of the Absurd speak meaningfully to us in the twenty-first century? This book explores this question by combining the avant-garde that Martin Esslin named in 1961 in his signature work The Theatre of the Absurd with gender studies, queer theory, and psychoanalysis, and avant-garde studies. The Theatre of the Absurd is capable of subverting post-millennial institutions and ideologies, including the Prison Industrial Complex and the West's domination of the Islamic world in a post-9/11 era"-- Comedy in unexpected places: Ionesco's The bald soprano -- Remembrance through rejection: active nihilism, Vietnam, and Adamov's Off limits -- Psychotic recuperations of a multi-racial feminism in Beckett's Not I -- Genet's The blacks: remixed at the intersection of gender and race -- Queering the carceral and assaulting America's prison industrial complex: Arrabal's And they put handcuffs on the flowers | [
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Afterlife of the Theatre of the Absurd : the avant-gard, spectatorship, and psychoanalysis
- Document Abstract: "In 1961, Martin Esslin named a body of plays that lacked plot, character depth, and details of time and space the 'Theatre of the Absurd'. Esslin explained that this type of theatre, minimalist in the extreme, constituted a response to the existential crisis of Europe, which was in the midst of recovering from World War II. But the fact that this body of theatre lacked details of time and space means that we may break the ties that anchor the Theatre of the Absurd irremediably to the historical context of post-World War II Europe. How can the Theatre of the Absurd speak meaningfully to us in the twenty-first century? This book explores this question by combining the avant-garde that Martin Esslin named in 1961 in his signature work The Theatre of the Absurd with gender studies, queer theory, and psychoanalysis, and avant-garde studies. The Theatre of the Absurd is capable of subverting post-millennial institutions and ideologies, including the Prison Industrial Complex and the West's domination of the Islamic world in a post-9/11 era"-- Comedy in unexpected places: Ionesco's The bald soprano -- Remembrance through rejection: active nihilism, Vietnam, and Adamov's Off limits -- Psychotic recuperations of a multi-racial feminism in Beckett's Not I -- Genet's The blacks: remixed at the intersection of gender and race -- Queering the carceral and assaulting America's prison industrial complex: Arrabal's And they put handcuffs on the flowers
- Document LIN Search class: ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A114689938.jsonld | Human nature in politics | Introduction / J. Roland Pennock -- Human nature Redivivus / Peter A. Corning -- Human nature, nature, and political thought / Roger D. Masters -- Politics, violence, and human nature / George A. Kelly -- The political animal / Lisa H. Newton -- The priority of human needs and the stages of political development / James C. Davies -- "To make all things new"-the counterculture vision of man and politics / Donald W. Keim -- Human nature and history / Marvin Zetterbaum -- Human nature and the radical vision / Lyman T. Sargent -- The concept of rationality in ethical and political theory / Richard Brandt -- Rationality and egalitarianism / Felix E. Oppenheim -- Irrational desires / Bernard Gert -- Toward a general theory of human nature and dynamics / John W. Chapman | [
"['phi']",
"['sow']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Human nature in politics
- Document Abstract: Introduction / J. Roland Pennock -- Human nature Redivivus / Peter A. Corning -- Human nature, nature, and political thought / Roger D. Masters -- Politics, violence, and human nature / George A. Kelly -- The political animal / Lisa H. Newton -- The priority of human needs and the stages of political development / James C. Davies -- "To make all things new"-the counterculture vision of man and politics / Donald W. Keim -- Human nature and history / Marvin Zetterbaum -- Human nature and the radical vision / Lyman T. Sargent -- The concept of rationality in ethical and political theory / Richard Brandt -- Rationality and egalitarianism / Felix E. Oppenheim -- Irrational desires / Bernard Gert -- Toward a general theory of human nature and dynamics / John W. Chapman
- Document LIN Search class: ['phi'], ['sow']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1671335929.jsonld | Global Shanghai remade : the rise of Pudong new area | "Examining the rise of Pudong and its role in re-creating Shanghai as a global city, Global Shanghai Remade utilises this important case study to shed light on contemporary globalisation and China's integration with the world since the late 20th century. Unpacking the rise of Pudong in the context of Deng Xiaoping's nation-building agenda, this book explores the development of the district from its earliest planning into a global city centre through multiple perspectives. In doing so, it explores the role of key decision-makers and actors, the strategic planning process, the approaches to urban development, and some of the iconic projects that define the rise of Pudong, Shanghai, and China itself. A timely volume for the 30th anniversary of China's strategy of 'developing and opening Pudong,' it combines the analyses and findings from these perspectives into a framework for a broader understanding of city-making with Chinese characteristics. The first study of its kind, providing a comprehensive and systematic examination of Pudong, this book will be useful for students and scholars of urban planning and design, as well as Chinese Studies and Development Studies more generally"-- The dragon's head -- Makers and making -- Planning greater Shanghai -- Planning Pudong new area -- The financial city -- The science city -- Urban icons -- City making with Chinese characteristics. | [
"['geo']",
"['sow']",
"['his']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Global Shanghai remade : the rise of Pudong new area
- Document Abstract: "Examining the rise of Pudong and its role in re-creating Shanghai as a global city, Global Shanghai Remade utilises this important case study to shed light on contemporary globalisation and China's integration with the world since the late 20th century. Unpacking the rise of Pudong in the context of Deng Xiaoping's nation-building agenda, this book explores the development of the district from its earliest planning into a global city centre through multiple perspectives. In doing so, it explores the role of key decision-makers and actors, the strategic planning process, the approaches to urban development, and some of the iconic projects that define the rise of Pudong, Shanghai, and China itself. A timely volume for the 30th anniversary of China's strategy of 'developing and opening Pudong,' it combines the analyses and findings from these perspectives into a framework for a broader understanding of city-making with Chinese characteristics. The first study of its kind, providing a comprehensive and systematic examination of Pudong, this book will be useful for students and scholars of urban planning and design, as well as Chinese Studies and Development Studies more generally"-- The dragon's head -- Makers and making -- Planning greater Shanghai -- Planning Pudong new area -- The financial city -- The science city -- Urban icons -- City making with Chinese characteristics.
- Document LIN Search class: ['geo'], ['sow'], ['his']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A102344934X.jsonld | Markets and market institutions : their origin and evolution | Amanda McLeod (2008), 'Quality Control: The Origins of the Australian Consumers' Association', Business History, 50 (1), January, 79-98 -- Carol H. Shiue and Wolfgang Keller (2007), 'Markets in China and Europe on the Eve of the Industrial Revolution', American Economic Review, 97 (4), September, 1189-216 -- David S. Jacks (2006), 'What Drove 19th Century Commodity Market Integration?', Explorations in Economic History, 43 (3), July, 383-412 -- Barry K. Goodwin, Thomas J. Grennes and Lee A. Craig (2002), 'Mechanical Refrigeration and the Integration of Perishable Commodity Markets', Explorations in Economic History, 39 (2), April, 154-82 -- S.R. Epstein (1994), 'Regional Fairs, Institutional Innovation, and Economic Growth in Late Medieval Europe', Economic History Review, XLVII (3), August, 459-82 -- James Masschaele (1997), 'The Quest for Markets', in Peasants, Merchants, and Markets: Inland Trade in Medieval England, 1150-1350, Chapter 6, New York, NY: St. Martin's Press, 129-46, 256-8 -- Margaret Spufford (1984), 'Introduction', in The Great Reclothing of Rural England: Petty Chapmen and their Wares in the Seventeenth Century, Chapter 1, London, UK: The Hambledon Press, 1-22 -- R.W. Hoyle (2007), 'New Markets and Fairs in the Yorkshire Dales, 1550-1750', in P.S. Barnwell and Marilyn Palmer (eds), Post-Medieval Landscapes, Chapter 8, Oxford, UK: Windgather Press, 93-106 -- Patrick O'Flanagan (1985), 'Markets and Fairs in Ireland, 1600- 1800: Index of Economic Development and Regional Growth', Journal of Historical Geography, 11 (4), 364-78 -- Ian D. Whyte (1979), 'The Growth of Periodic Market Centres in Scotland 1600-1707', Scottish Geographical Magazine, 95 (1), April, 13-26 -- John R. Walton (1984), 'The Rise of Agricultural Auctioneering in Eighteenth-and Nineteenth-Century Britain', Journal of Historical Geography, 10 (1), 15-36 -- Polly Hill (1966), 'Notes on Traditional Market Authority and Market Periodicity in West Africa', Journal of African History, VII (2), 295-311 -- Ruth Mazo Karras (1989), 'The Regulation of Brothels in Later Medieval England', Signs: Journal of Women in Culture and Society, 14 (2), Winter, 399-433 -- A.J. Arnold and J.M. Bidmead (2008), 'Going "to Paradise by Way of Kensal Green " A Most Unfit Subject for Trading Profit', Business History, 50 (3), May, 328-50 -- Charles R. Mayes (1957), 'The Sale of Peerages in Early Stuart England', Journal of Modern History, 29 (1), March, 21-37 North, Douglass C. (1981), Structure and Change in Economic History, New York: W.W. Norton. -- Pestell, Tim and Katharina Ulmschneider (eds) (2003), Markets in Early Medieval Europe: Trading and 'Productive' Sites, 650-850, Bollington, Cheshire: Windgather Press. -- Smith, Adam (1776), An Inquiry into the Nature and Causes of the Wealth of Nations, Penn State electronic edition, accessed 30/10/09. -- Peter Temin (2002), 'Price Behavior in Ancient Babylon', Explorations in Economic History, 39 (1), January, 46-60 -- David W. Tandy (1997), 'Early Movements of Goods and of Greeks', in Warriors into Traders: The Power of the Market in Early Greece, Chapter 3, Berkeley and Los Angeles, CA: University of California Press, 59-83, references -- Joan M. Frayn (1993), 'Commodities Sold in the Markets', Markets and Fairs in Roman Italy: Their Social and Economic Importance from the Second Century BC to the Third Century AD, Chapter 4, Oxford, UK: Clarendon Press, 56-73 -- George C. Maniatis (2000), 'The Organizational Setup and Functioning of the Fish Market in Tenth-Century Constantinople', Dumbarton Oaks Papers, 54, 13-31a, 31b, 32-42 -- S.R.H. Jones (1993), 'Transaction Costs, Institutional Change, and the Emergence of a Market Economy in Later Anglo-Saxon England', Economic History Review, XLVI (4), November, 658-78 -- Richard H. Britnell (1993), 'Markets and Rules', in The Commercialisation of English Society, 1000-1500, Chapter 4, Cambridge, UK: Cambridge University Press, 79-101 -- Christopher Dyer (1989), 'The Consumer and the Market in the Later Middle Ages', Economic History Review, XLII (3), August, 305-27 -- Alwyn A. Ruddock (1951), 'The Organization of Trade', in Italian Merchants and Shipping in Southampton, 1270-1600, Chapter IV, Southampton, UK: University College, 94-116 -- Om Prakash (2004), 'The Indian Maritime Merchant, 1500-1800', Journal of the Economic and Social History of the Orient, 47 (3), 435-57 -- Hugo van Driel (2003), 'The Role of Middlemen in the International Coffee Trade Since 1870: The Dutch Case', Business History, 45 (2), April, 77-101 -- Robert Sabatino Lopez (1964), 'Market Expansion: The Case of Genoa', Journal of Economic History, 24 (4), December, 445-64 -- James M. Murray (2005), 'Wool, Cloth, and Gold', in Bruges; Cradle of Capitalism, 1280-1390, Chapter 7, Cambridge, UK: Cambridge University Press, 259-99, references -- Clé Lesger (2006), 'Amsterdam and the Organization of Trade', in The Rise of the Amsterdam Market and Information Exchange: Merchants, Commercial Expansion and Change in the Spatial Economy of the Low Countries c. 1550-1630, Chapter 5, Aldershot, UK: Ashgate, 183-213, references [translated by J.C. Grayson] -- David Alexander (1970), 'Aspects of a Changing Retail Market', in Retailing in England during the Industrial Revolution, Chapter 1, London, UK: Athlone Press, 3-26 -- Gary Richardson (2004), 'Guilds, Laws, and Markets for Manufactured Merchandise in Late-Medieval England', Explorations in Economic History, 41 (1), January, 1-25 -- Ronald F. Homer (2002), 'The Pewterers' Company's Country Searches and the Company's Regulation of Prices', in Ian Anders Gadd and Patrick Wallis (eds), Guilds, Society and Economy in London, 1450-1800, Chapter 7, London, UK: Centre for Metropolitan History, 101-13 The origin of markets is a central issue in economics and economic history, but until now there has been no definitive reference source on the subject. This authoritative collection fills the gap by reprinting key papers analysing the evolution of markets over the past millennium. These papers, written by leading scholars in the field, relate market development to urban growth, the spread of the credit system, and the evolution of capitalism. They show that markets did not evolve in a purely spontaneous fashion, but as part of the planned development of market centres by local landowners and business people. This volume, with an original introduction by the editor, will serve as an excellent reference tool to students, academics and practitioners interested in the broad field of economics and economic history, and market evolution in particular Recommended readings (Machine generated): Akerlof, George A. (1970), 'The Market for "Lemons " Quality Uncertainty and the Market Mechanism', Quarterly Journal of Economics, 84 (3), 488-500. -- Anderton, Michael (ed.) (1999), Anglo-Saxon Trading Centres; Beyond the Emporia, Glasgow: Cruithne Press. -- Bang, Peter Fibiger (2008), The Roman Bazaar: A Comparative Study of Trade and Markets in a Tributary Empire, Cambridge: Cambridge University Press. -- Casson, Mark (2003), The Entrepreneur: An Economic Theory, Revised edition, Cheltenham: Edward Elgar. -- Casson, Mark (2010), 'Networks in Business and Economic History: A Theoretical Approach', in P.F. Perez and M.B. Rose (eds), Innovation and Entrepreneurial Networks in Europe, New York: Routledge, pp. 14-40. -- Dark, Ken (1995), Theoretical Archaeology, London: Duckworth. -- Davis, James (2007), 'Men as march with fote packes: Pedlars and freedom of mobility in late-medieval England', in P. Holden (ed.), Freedom of Movement in the Middle Ages: Proceedings of the 2003 Harlaxton Symposium, Donington, Lincs: Shaun Tyas. -- De Ligt, L. (1993), Fairs and Markets in the Roman Empire: Economic and Social Aspects of Periodic Trade in a Pre-industrial Society, Amsterdam: J.C. Gieben. -- Dolfsma, Wilfred and Anton Spithoven (2008), ' "Silent Trade " and the Supposed Continuum between OIE and NIE', Journal of Economic Issues, 42 (2), 517-26. -- Dyer, Christopher (1989), 'The Consumer and the Market in the Later Middle Ages', Economic History Review, 42, 305-27. -- Epstein, Stephan R. (1994), 'Regional Fairs, Institutional Innovation and Economic Growth in Late Medieval Europe', Economic History Review, 47 (3), 459-82. -- Furubotn, Eric G. and Rudolf Richter (eds) (2010), The New Institutional Economics of Markets, Cheltenham: Edward Elgar. -- Granger, Clive W.J. and C.M. Elliott (1967), 'A Fresh Look at Wheat Prices and Markets in the Eighteenth Century', Economic History Review, 20 (2), 257-65. -- Hayek, Friedrich von (1991), Economic Freedom, Oxford: Basil Blackwell. -- Hoyt, Elizabeth E. (1929), Primitive Trade: Its Psychology and Economics, London: Kegan Paul, Trench, Trubner. -- Kowaleski, Maryanne (1995), Local Markets and Regional Trade in Medieval Exeter, Cambridge: Cambridge University Press. -- Kreps, David M. (1990), A Course in Microeconomic Theory, London: Harvester Wheatsheaf. -- Marshall, Alfred (1890), Principles of Economics, London: Macmillan. -- McCann, Philip (1998), The Economics of Industrial Location: A Logistics-Cost Approach, New York: Springer | [
"['his']",
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Markets and market institutions : their origin and evolution
- Document Abstract: Amanda McLeod (2008), 'Quality Control: The Origins of the Australian Consumers' Association', Business History, 50 (1), January, 79-98 -- Carol H. Shiue and Wolfgang Keller (2007), 'Markets in China and Europe on the Eve of the Industrial Revolution', American Economic Review, 97 (4), September, 1189-216 -- David S. Jacks (2006), 'What Drove 19th Century Commodity Market Integration?', Explorations in Economic History, 43 (3), July, 383-412 -- Barry K. Goodwin, Thomas J. Grennes and Lee A. Craig (2002), 'Mechanical Refrigeration and the Integration of Perishable Commodity Markets', Explorations in Economic History, 39 (2), April, 154-82 -- S.R. Epstein (1994), 'Regional Fairs, Institutional Innovation, and Economic Growth in Late Medieval Europe', Economic History Review, XLVII (3), August, 459-82 -- James Masschaele (1997), 'The Quest for Markets', in Peasants, Merchants, and Markets: Inland Trade in Medieval England, 1150-1350, Chapter 6, New York, NY: St. Martin's Press, 129-46, 256-8 -- Margaret Spufford (1984), 'Introduction', in The Great Reclothing of Rural England: Petty Chapmen and their Wares in the Seventeenth Century, Chapter 1, London, UK: The Hambledon Press, 1-22 -- R.W. Hoyle (2007), 'New Markets and Fairs in the Yorkshire Dales, 1550-1750', in P.S. Barnwell and Marilyn Palmer (eds), Post-Medieval Landscapes, Chapter 8, Oxford, UK: Windgather Press, 93-106 -- Patrick O'Flanagan (1985), 'Markets and Fairs in Ireland, 1600- 1800: Index of Economic Development and Regional Growth', Journal of Historical Geography, 11 (4), 364-78 -- Ian D. Whyte (1979), 'The Growth of Periodic Market Centres in Scotland 1600-1707', Scottish Geographical Magazine, 95 (1), April, 13-26 -- John R. Walton (1984), 'The Rise of Agricultural Auctioneering in Eighteenth-and Nineteenth-Century Britain', Journal of Historical Geography, 10 (1), 15-36 -- Polly Hill (1966), 'Notes on Traditional Market Authority and Market Periodicity in West Africa', Journal of African History, VII (2), 295-311 -- Ruth Mazo Karras (1989), 'The Regulation of Brothels in Later Medieval England', Signs: Journal of Women in Culture and Society, 14 (2), Winter, 399-433 -- A.J. Arnold and J.M. Bidmead (2008), 'Going "to Paradise by Way of Kensal Green " A Most Unfit Subject for Trading Profit', Business History, 50 (3), May, 328-50 -- Charles R. Mayes (1957), 'The Sale of Peerages in Early Stuart England', Journal of Modern History, 29 (1), March, 21-37 North, Douglass C. (1981), Structure and Change in Economic History, New York: W.W. Norton. -- Pestell, Tim and Katharina Ulmschneider (eds) (2003), Markets in Early Medieval Europe: Trading and 'Productive' Sites, 650-850, Bollington, Cheshire: Windgather Press. -- Smith, Adam (1776), An Inquiry into the Nature and Causes of the Wealth of Nations, Penn State electronic edition, accessed 30/10/09. -- Peter Temin (2002), 'Price Behavior in Ancient Babylon', Explorations in Economic History, 39 (1), January, 46-60 -- David W. Tandy (1997), 'Early Movements of Goods and of Greeks', in Warriors into Traders: The Power of the Market in Early Greece, Chapter 3, Berkeley and Los Angeles, CA: University of California Press, 59-83, references -- Joan M. Frayn (1993), 'Commodities Sold in the Markets', Markets and Fairs in Roman Italy: Their Social and Economic Importance from the Second Century BC to the Third Century AD, Chapter 4, Oxford, UK: Clarendon Press, 56-73 -- George C. Maniatis (2000), 'The Organizational Setup and Functioning of the Fish Market in Tenth-Century Constantinople', Dumbarton Oaks Papers, 54, 13-31a, 31b, 32-42 -- S.R.H. Jones (1993), 'Transaction Costs, Institutional Change, and the Emergence of a Market Economy in Later Anglo-Saxon England', Economic History Review, XLVI (4), November, 658-78 -- Richard H. Britnell (1993), 'Markets and Rules', in The Commercialisation of English Society, 1000-1500, Chapter 4, Cambridge, UK: Cambridge University Press, 79-101 -- Christopher Dyer (1989), 'The Consumer and the Market in the Later Middle Ages', Economic History Review, XLII (3), August, 305-27 -- Alwyn A. Ruddock (1951), 'The Organization of Trade', in Italian Merchants and Shipping in Southampton, 1270-1600, Chapter IV, Southampton, UK: University College, 94-116 -- Om Prakash (2004), 'The Indian Maritime Merchant, 1500-1800', Journal of the Economic and Social History of the Orient, 47 (3), 435-57 -- Hugo van Driel (2003), 'The Role of Middlemen in the International Coffee Trade Since 1870: The Dutch Case', Business History, 45 (2), April, 77-101 -- Robert Sabatino Lopez (1964), 'Market Expansion: The Case of Genoa', Journal of Economic History, 24 (4), December, 445-64 -- James M. Murray (2005), 'Wool, Cloth, and Gold', in Bruges; Cradle of Capitalism, 1280-1390, Chapter 7, Cambridge, UK: Cambridge University Press, 259-99, references -- Clé Lesger (2006), 'Amsterdam and the Organization of Trade', in The Rise of the Amsterdam Market and Information Exchange: Merchants, Commercial Expansion and Change in the Spatial Economy of the Low Countries c. 1550-1630, Chapter 5, Aldershot, UK: Ashgate, 183-213, references [translated by J.C. Grayson] -- David Alexander (1970), 'Aspects of a Changing Retail Market', in Retailing in England during the Industrial Revolution, Chapter 1, London, UK: Athlone Press, 3-26 -- Gary Richardson (2004), 'Guilds, Laws, and Markets for Manufactured Merchandise in Late-Medieval England', Explorations in Economic History, 41 (1), January, 1-25 -- Ronald F. Homer (2002), 'The Pewterers' Company's Country Searches and the Company's Regulation of Prices', in Ian Anders Gadd and Patrick Wallis (eds), Guilds, Society and Economy in London, 1450-1800, Chapter 7, London, UK: Centre for Metropolitan History, 101-13 The origin of markets is a central issue in economics and economic history, but until now there has been no definitive reference source on the subject. This authoritative collection fills the gap by reprinting key papers analysing the evolution of markets over the past millennium. These papers, written by leading scholars in the field, relate market development to urban growth, the spread of the credit system, and the evolution of capitalism. They show that markets did not evolve in a purely spontaneous fashion, but as part of the planned development of market centres by local landowners and business people. This volume, with an original introduction by the editor, will serve as an excellent reference tool to students, academics and practitioners interested in the broad field of economics and economic history, and market evolution in particular Recommended readings (Machine generated): Akerlof, George A. (1970), 'The Market for "Lemons " Quality Uncertainty and the Market Mechanism', Quarterly Journal of Economics, 84 (3), 488-500. -- Anderton, Michael (ed.) (1999), Anglo-Saxon Trading Centres; Beyond the Emporia, Glasgow: Cruithne Press. -- Bang, Peter Fibiger (2008), The Roman Bazaar: A Comparative Study of Trade and Markets in a Tributary Empire, Cambridge: Cambridge University Press. -- Casson, Mark (2003), The Entrepreneur: An Economic Theory, Revised edition, Cheltenham: Edward Elgar. -- Casson, Mark (2010), 'Networks in Business and Economic History: A Theoretical Approach', in P.F. Perez and M.B. Rose (eds), Innovation and Entrepreneurial Networks in Europe, New York: Routledge, pp. 14-40. -- Dark, Ken (1995), Theoretical Archaeology, London: Duckworth. -- Davis, James (2007), 'Men as march with fote packes: Pedlars and freedom of mobility in late-medieval England', in P. Holden (ed.), Freedom of Movement in the Middle Ages: Proceedings of the 2003 Harlaxton Symposium, Donington, Lincs: Shaun Tyas. -- De Ligt, L. (1993), Fairs and Markets in the Roman Empire: Economic and Social Aspects of Periodic Trade in a Pre-industrial Society, Amsterdam: J.C. Gieben. -- Dolfsma, Wilfred and Anton Spithoven (2008), ' "Silent Trade " and the Supposed Continuum between OIE and NIE', Journal of Economic Issues, 42 (2), 517-26. -- Dyer, Christopher (1989), 'The Consumer and the Market in the Later Middle Ages', Economic History Review, 42, 305-27. -- Epstein, Stephan R. (1994), 'Regional Fairs, Institutional Innovation and Economic Growth in Late Medieval Europe', Economic History Review, 47 (3), 459-82. -- Furubotn, Eric G. and Rudolf Richter (eds) (2010), The New Institutional Economics of Markets, Cheltenham: Edward Elgar. -- Granger, Clive W.J. and C.M. Elliott (1967), 'A Fresh Look at Wheat Prices and Markets in the Eighteenth Century', Economic History Review, 20 (2), 257-65. -- Hayek, Friedrich von (1991), Economic Freedom, Oxford: Basil Blackwell. -- Hoyt, Elizabeth E. (1929), Primitive Trade: Its Psychology and Economics, London: Kegan Paul, Trench, Trubner. -- Kowaleski, Maryanne (1995), Local Markets and Regional Trade in Medieval Exeter, Cambridge: Cambridge University Press. -- Kreps, David M. (1990), A Course in Microeconomic Theory, London: Harvester Wheatsheaf. -- Marshall, Alfred (1890), Principles of Economics, London: Macmillan. -- McCann, Philip (1998), The Economics of Industrial Location: A Logistics-Cost Approach, New York: Springer
- Document LIN Search class: ['his'], ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1839113804.jsonld | Getting Started with Angular : Create and Deploy Angular Applications | Immerse yourself in the architecture of an Angular application, starting with an introduction to TypeScript and ES6, and progressing to modules and components used to build complex applications. This book presents a hands-on approach to becoming a proficient Angular developer by building three complete applications. You’ll start with an overview of the Angular framework where TypeScript and ES6 are introduced. Next you’ll see how to build an application (RestApp) using the in-memory module to mock an API that communicates with a rest API performing crud operations. This is followed by an application (AuthApp) that uses a third party service to provide authentication and authorization capabilities to handle registrations. You’ll then build an application (BlogApp) that communicates with a MongoDB database in six parts. Part 1 covers MongoDB, how to install bootstrap, login service, and adding the logic of the form. Part 2 covers how to start the project on the server, create the database and AuthService, and save the user in the session. In Parts 3 and 4 you will learn to create the post collection, post component, and sharpen details. In Parts 5 and 6 you will study adding, editing, and deleting posts with testing. By the end of the book you'll have the necessary knowledge to write and execute automated tests on your applications, and deploy them to a server. . Chapter 1: Introduction to Angular Framework -- Chapter 2: Introduction to TypeScript and ES6 -- Chapter 3: First Application: RestApp -- Chapter 4: RestApp -- Chapter 5: AuthApp -- Chapter 6: Blog App Part I -- Chapter 7: Blog App Part II -- Chapter 8: Blog App Part III Showing Posts -- Chapter 9: Blog App Part IV Filtering Posts -- Chapter 10: Blog App Part V Adding Posts -- Chapter 11: Blog App Part VI Editing Posts -- Chapter 12: Blog App Part VII Deleting Posts -- Chapter 13: Testing. | [
"['inf']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Getting Started with Angular : Create and Deploy Angular Applications
- Document Abstract: Immerse yourself in the architecture of an Angular application, starting with an introduction to TypeScript and ES6, and progressing to modules and components used to build complex applications. This book presents a hands-on approach to becoming a proficient Angular developer by building three complete applications. You’ll start with an overview of the Angular framework where TypeScript and ES6 are introduced. Next you’ll see how to build an application (RestApp) using the in-memory module to mock an API that communicates with a rest API performing crud operations. This is followed by an application (AuthApp) that uses a third party service to provide authentication and authorization capabilities to handle registrations. You’ll then build an application (BlogApp) that communicates with a MongoDB database in six parts. Part 1 covers MongoDB, how to install bootstrap, login service, and adding the logic of the form. Part 2 covers how to start the project on the server, create the database and AuthService, and save the user in the session. In Parts 3 and 4 you will learn to create the post collection, post component, and sharpen details. In Parts 5 and 6 you will study adding, editing, and deleting posts with testing. By the end of the book you'll have the necessary knowledge to write and execute automated tests on your applications, and deploy them to a server. . Chapter 1: Introduction to Angular Framework -- Chapter 2: Introduction to TypeScript and ES6 -- Chapter 3: First Application: RestApp -- Chapter 4: RestApp -- Chapter 5: AuthApp -- Chapter 6: Blog App Part I -- Chapter 7: Blog App Part II -- Chapter 8: Blog App Part III Showing Posts -- Chapter 9: Blog App Part IV Filtering Posts -- Chapter 10: Blog App Part V Adding Posts -- Chapter 11: Blog App Part VI Editing Posts -- Chapter 12: Blog App Part VII Deleting Posts -- Chapter 13: Testing.
- Document LIN Search class: ['inf']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1654507466.jsonld | Séminaire de Probabilités XLVI | Providing a broad overview of the current state of the art in probability theory and its applications, and featuring an article coauthored by Mark Yor, this volume contains contributions on branching processes, Lévy processes, random walks and martingales and their connection with, among other topics, rough paths, semi-groups, heat kernel asymptotics and mathematical finance Sergey Bocharov, Simon C. Harris: Branching random walk in an homogeneous breeding potential -- A.E. Kyprianou, J.-L. Pérez and Y.X. Ren: The backbone decomposition for spatially dependent supercritical superprocesses -- Lucian Beznea, Iulian Cˆımpean:On Bochner-Kolmogorov theorem.-Jacques Franchi: Small Time Asymptotics for an Example of Strictly Hypoelliptic Heat Kernel.-Koléhè A. Coulibaly-Pasquier:Onsager-Machlupn functional for uniformly elliptic time-inhomogeneous diffusion -- Xi Geng, Zhongmin Qian and Danyu Yang: G-Brownian Motion as Rough Paths and Differential Equations Driven by G-Brownian Motion -- Isma¨el Bailleul: Flows driven by Banach space-valued rough paths -- Christian Léonard: Some properties of path measures -- Patrick Cattiaux, Arnaud Guillin: Semi Log-Concave Markov Diffusions -- Carlo Marinelli,Michael Röckner: On maximal inequalities for purely discontinuous martingales in infinite dimensions -- Walter Schachermayer: Admissible Trading Strategies under Transaction Costs -- A.E. Kyprianou, A.R. Watson: Potentials of stable processes -- Julien Letemplier,Thomas Simon: Unimodality of hitting times for stable processes -- Mathieu Rosenbaum and Marc Yor: On the law of a triplet associated with the pseudo-Brownian bridge -- Jean Brossard, Michel Emery and Christophe Leuridan:Skew-product decomposition of planar Brownian motion and complementability -- Vilmos Prokaj; On the exactness of the Lévy-transformation -- Yinshan Chang: Multi-occupation field generates the Borel-sigma-field of loops -- Ramon van Handel: Ergodicity, Decisions, and Partial Information -- Laurent Serlet: Invariance principle for the random walk conditioned to have a few zeroes -- Dario Trevisian: A short proof of Stein’s universal multiplier theorem -- Joseph Najnudel, Ashkan Nikeghbali: On a flow of operators associated to virtual permutations | [
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Séminaire de Probabilités XLVI
- Document Abstract: Providing a broad overview of the current state of the art in probability theory and its applications, and featuring an article coauthored by Mark Yor, this volume contains contributions on branching processes, Lévy processes, random walks and martingales and their connection with, among other topics, rough paths, semi-groups, heat kernel asymptotics and mathematical finance Sergey Bocharov, Simon C. Harris: Branching random walk in an homogeneous breeding potential -- A.E. Kyprianou, J.-L. Pérez and Y.X. Ren: The backbone decomposition for spatially dependent supercritical superprocesses -- Lucian Beznea, Iulian Cˆımpean:On Bochner-Kolmogorov theorem.-Jacques Franchi: Small Time Asymptotics for an Example of Strictly Hypoelliptic Heat Kernel.-Koléhè A. Coulibaly-Pasquier:Onsager-Machlupn functional for uniformly elliptic time-inhomogeneous diffusion -- Xi Geng, Zhongmin Qian and Danyu Yang: G-Brownian Motion as Rough Paths and Differential Equations Driven by G-Brownian Motion -- Isma¨el Bailleul: Flows driven by Banach space-valued rough paths -- Christian Léonard: Some properties of path measures -- Patrick Cattiaux, Arnaud Guillin: Semi Log-Concave Markov Diffusions -- Carlo Marinelli,Michael Röckner: On maximal inequalities for purely discontinuous martingales in infinite dimensions -- Walter Schachermayer: Admissible Trading Strategies under Transaction Costs -- A.E. Kyprianou, A.R. Watson: Potentials of stable processes -- Julien Letemplier,Thomas Simon: Unimodality of hitting times for stable processes -- Mathieu Rosenbaum and Marc Yor: On the law of a triplet associated with the pseudo-Brownian bridge -- Jean Brossard, Michel Emery and Christophe Leuridan:Skew-product decomposition of planar Brownian motion and complementability -- Vilmos Prokaj; On the exactness of the Lévy-transformation -- Yinshan Chang: Multi-occupation field generates the Borel-sigma-field of loops -- Ramon van Handel: Ergodicity, Decisions, and Partial Information -- Laurent Serlet: Invariance principle for the random walk conditioned to have a few zeroes -- Dario Trevisian: A short proof of Stein’s universal multiplier theorem -- Joseph Najnudel, Ashkan Nikeghbali: On a flow of operators associated to virtual permutations
- Document LIN Search class: ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1658230124.jsonld | Innovative Learning Environments | How to design a powerful learning environment so that learners can thrive in the 21st century? OECD’s Innovative Learning Environments (ILE) is an ambitious international study that responds to this challenging question. The study earlier released the influential publication The Nature of Learning: Using Research to Inspire Practice. This companion volume is based on 40 in-depth case studies of powerful 21st century learning environments that have taken the innovation journey. Innovative Learning Environments presents a wealth of international material and features a new framework for understanding these learning environments, organised into eight chapters. Richly illustrated by the many local examples, it argues that a contemporary learning environment should: Innovate the elements and dynamics of its “pedagogical core”. Become a “formative organisation” through strong design strategies with corresponding learning leadership, evaluation and feedback. Open up to partnerships to grow social and professional capital, and to sustain renewal and dynamism. Promote 21st century effectiveness through the application of the ILE learning principles. In conclusion it offers pointers to how this can be achieved, including the role of technology, networking, and changing organisational cultures. This report will prove to be an invaluable resource for all those interested in schooling. It will be of particular interest to teachers, education leaders, parents, teacher educators, advisors and decision-makers, as well as the research community. “Much has been written about learning environments, and about innovation but nowhere will you find such a deep and cogent portrayal of the key principles as in the OECD's report, Innovative Learning Environments. Learners, pedagogical core, learning environments, partnerships, sustainability - it's all captured in this remarkable volume.” (Michael Fullan, OC, Professor Emeritus, OISE, University of Toronto) “Everyone in education is talking about innovation. What is different here is that the best of what we know about learning is at the centre and is richly illustrated with real cases to answer the question, ‘What will this look like?’” (Helen Timperley, Professor, Faculty of Education, University of Auckland) “From OECD's The Nature of Learning to Innovative Learning Environments, this second ILE volume inspires and guides all who are committed to creating , enacting and sustaining powerful learning. To know that this is possible - that we can and are creating ‘schooling for tomorrow’ today - is the gift of this book.” (Anthony Mackay: Co-Chair, Global Education Leaders Program; Chair, Innovation Unit UK) “What impresses me about this work is the clarity about the links between complex goals, processes and outcomes through a focus on innovative learning environments across the globe. Innovative Learning Environments manages both to bring alive the lived realities of very different people at the same time as distilling principles and key messages." (Philippa Cordingley, Chief Executive, Centre for the Use of Research and Evidence in Education (CUREE), UK) “As societies experience unprecedented and unpredictable change, schools and education systems are at the nexus of hope for the future. OECD’s report Innovative Learning Environments documents how educators in a number of countries are engaging in bold and forward-thinking innovations to renew, re-imagine and re-invent contexts for teaching and learning, and, most importantly, provides inspiration to take the journey.” (Professor Lorna Earl, President 2011-2013, International Congress for School Effectiveness and Improvement) | [
"['pae']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Innovative Learning Environments
- Document Abstract: How to design a powerful learning environment so that learners can thrive in the 21st century? OECD’s Innovative Learning Environments (ILE) is an ambitious international study that responds to this challenging question. The study earlier released the influential publication The Nature of Learning: Using Research to Inspire Practice. This companion volume is based on 40 in-depth case studies of powerful 21st century learning environments that have taken the innovation journey. Innovative Learning Environments presents a wealth of international material and features a new framework for understanding these learning environments, organised into eight chapters. Richly illustrated by the many local examples, it argues that a contemporary learning environment should: Innovate the elements and dynamics of its “pedagogical core”. Become a “formative organisation” through strong design strategies with corresponding learning leadership, evaluation and feedback. Open up to partnerships to grow social and professional capital, and to sustain renewal and dynamism. Promote 21st century effectiveness through the application of the ILE learning principles. In conclusion it offers pointers to how this can be achieved, including the role of technology, networking, and changing organisational cultures. This report will prove to be an invaluable resource for all those interested in schooling. It will be of particular interest to teachers, education leaders, parents, teacher educators, advisors and decision-makers, as well as the research community. “Much has been written about learning environments, and about innovation but nowhere will you find such a deep and cogent portrayal of the key principles as in the OECD's report, Innovative Learning Environments. Learners, pedagogical core, learning environments, partnerships, sustainability - it's all captured in this remarkable volume.” (Michael Fullan, OC, Professor Emeritus, OISE, University of Toronto) “Everyone in education is talking about innovation. What is different here is that the best of what we know about learning is at the centre and is richly illustrated with real cases to answer the question, ‘What will this look like?’” (Helen Timperley, Professor, Faculty of Education, University of Auckland) “From OECD's The Nature of Learning to Innovative Learning Environments, this second ILE volume inspires and guides all who are committed to creating , enacting and sustaining powerful learning. To know that this is possible - that we can and are creating ‘schooling for tomorrow’ today - is the gift of this book.” (Anthony Mackay: Co-Chair, Global Education Leaders Program; Chair, Innovation Unit UK) “What impresses me about this work is the clarity about the links between complex goals, processes and outcomes through a focus on innovative learning environments across the globe. Innovative Learning Environments manages both to bring alive the lived realities of very different people at the same time as distilling principles and key messages." (Philippa Cordingley, Chief Executive, Centre for the Use of Research and Evidence in Education (CUREE), UK) “As societies experience unprecedented and unpredictable change, schools and education systems are at the nexus of hope for the future. OECD’s report Innovative Learning Environments documents how educators in a number of countries are engaging in bold and forward-thinking innovations to renew, re-imagine and re-invent contexts for teaching and learning, and, most importantly, provides inspiration to take the journey.” (Professor Lorna Earl, President 2011-2013, International Congress for School Effectiveness and Improvement)
- Document LIN Search class: ['pae']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1657799158.jsonld | Expert Oracle Exadata | Expert Oracle Exadata, 2nd Edition opens up the internals of Oracle's Exadata platform so that you can fully benefit from the most performant and scalable database hardware appliance capable of running Oracle Database. This edition is fully-updated to cover Exadata 5-2 and Oracle Database 12c. If you're new to Exadata, you'll soon learn that it embodies a change in how you think about and manage relational databases. A key part of that change lies in the concept of offloading SQL processing to the storage layer. In addition there is Oracle's engineering effort in creating a powerful platform for both consolidation and transaction processing. The resulting value proposition in the form of Exadata has truly been a game-changer. Expert Oracle Exadata, 2nd Edition provides a look at the internals and how the combination of hardware and software that comprise Exadata actually work. Authors include Martin Bach, Andy Colvin, and Frits Hoogland, with contributions from Karl Arao, and built on the foundation laid by Kerry Osborne, Randy Johnson, and Tanel Poder in the first edition. They share their real-world experience gained through a great many Exadata implementations, possibly more than any other group of experts today. Always their goal is toward helping you advance your career through success with Exadata in your own environment. This book is intended for readers who want to understand what makes the platform tick and for whom-"how" it does what it is does is as important as what it does. By being exposed to the features that are unique to Exadata, you will gain an understanding of the mechanics that will allow you to fully benefit from the advantages that the platform provides. This book changes how you think about managing SQL performance and processing. It provides a roadmap to successful Exadata implementation. And it removes the "black box" mystique. You'll learn how Exadata actually works and be better able to manage your Exadata engineered systems in support of your business | [
"['inf']",
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Expert Oracle Exadata
- Document Abstract: Expert Oracle Exadata, 2nd Edition opens up the internals of Oracle's Exadata platform so that you can fully benefit from the most performant and scalable database hardware appliance capable of running Oracle Database. This edition is fully-updated to cover Exadata 5-2 and Oracle Database 12c. If you're new to Exadata, you'll soon learn that it embodies a change in how you think about and manage relational databases. A key part of that change lies in the concept of offloading SQL processing to the storage layer. In addition there is Oracle's engineering effort in creating a powerful platform for both consolidation and transaction processing. The resulting value proposition in the form of Exadata has truly been a game-changer. Expert Oracle Exadata, 2nd Edition provides a look at the internals and how the combination of hardware and software that comprise Exadata actually work. Authors include Martin Bach, Andy Colvin, and Frits Hoogland, with contributions from Karl Arao, and built on the foundation laid by Kerry Osborne, Randy Johnson, and Tanel Poder in the first edition. They share their real-world experience gained through a great many Exadata implementations, possibly more than any other group of experts today. Always their goal is toward helping you advance your career through success with Exadata in your own environment. This book is intended for readers who want to understand what makes the platform tick and for whom-"how" it does what it is does is as important as what it does. By being exposed to the features that are unique to Exadata, you will gain an understanding of the mechanics that will allow you to fully benefit from the advantages that the platform provides. This book changes how you think about managing SQL performance and processing. It provides a roadmap to successful Exadata implementation. And it removes the "black box" mystique. You'll learn how Exadata actually works and be better able to manage your Exadata engineered systems in support of your business
- Document LIN Search class: ['inf'], ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1652024867.jsonld | Quantum Chemistry of Solids : LCAO Treatment of Crystals and Nanostructures | Quantum Chemistry of Solids delivers a comprehensive account of the main features and possibilities of LCAO methods for the first principles calculations of electronic structure of periodic systems. The first part describes the basic theory underlying the LCAO methods applied to periodic systems and the use of Hartree-Fock(HF), Density Function theory(DFT) and hybrid Hamiltonians. The translation and site symmetry consideration is included to establish connection between k-space solid -state physics and real-space quantum chemistry. The inclusion of electron correlation effects for periodic systems is considered on the basis of localized crystalline orbitals. The possibilities of LCAO methods for chemical bonding analysis in periodic systems are discussed. The second part deals with the applications of LCAO methods for calculations of bulk crystal properties, including magnetic ordering and crystal structure optimization. In the second edition two new chapters are added in the application part II of the book. Chapter 12 deals with the recent LCAO calculations and illustrates the efficiency of the scalar-relativistic LCAO method for solids, containing heavy atoms. Chapter 13 deals with the symmetry properties and the recent applications of LCAO method to inorganic nanotubes. New material is added to chapter 9 devoted to LCAO calculations of perfect-crystal properties. The possibilities of LCAO method for calculation of the high-frequency dielectric constants of crystals and the description of phase transitions in solids are discussed. The efficiency of LCAO method in the quantum-mechanics-molecular dynamics approach to the interpretation of x-ray absorption and EXAFS spectra is illustrated. A new section is devoted to recent LCAO calculations of electronic, vibrational and magnetic properties of tungstates MeWO4 (Me: Fe,Co,Ni,Cu,Zn,Cd) | [
"['che']",
"['phy']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Quantum Chemistry of Solids : LCAO Treatment of Crystals and Nanostructures
- Document Abstract: Quantum Chemistry of Solids delivers a comprehensive account of the main features and possibilities of LCAO methods for the first principles calculations of electronic structure of periodic systems. The first part describes the basic theory underlying the LCAO methods applied to periodic systems and the use of Hartree-Fock(HF), Density Function theory(DFT) and hybrid Hamiltonians. The translation and site symmetry consideration is included to establish connection between k-space solid -state physics and real-space quantum chemistry. The inclusion of electron correlation effects for periodic systems is considered on the basis of localized crystalline orbitals. The possibilities of LCAO methods for chemical bonding analysis in periodic systems are discussed. The second part deals with the applications of LCAO methods for calculations of bulk crystal properties, including magnetic ordering and crystal structure optimization. In the second edition two new chapters are added in the application part II of the book. Chapter 12 deals with the recent LCAO calculations and illustrates the efficiency of the scalar-relativistic LCAO method for solids, containing heavy atoms. Chapter 13 deals with the symmetry properties and the recent applications of LCAO method to inorganic nanotubes. New material is added to chapter 9 devoted to LCAO calculations of perfect-crystal properties. The possibilities of LCAO method for calculation of the high-frequency dielectric constants of crystals and the description of phase transitions in solids are discussed. The efficiency of LCAO method in the quantum-mechanics-molecular dynamics approach to the interpretation of x-ray absorption and EXAFS spectra is illustrated. A new section is devoted to recent LCAO calculations of electronic, vibrational and magnetic properties of tungstates MeWO4 (Me: Fe,Co,Ni,Cu,Zn,Cd)
- Document LIN Search class: ['che'], ['phy']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1776229479.jsonld | Emmanuel Levinas's Talmudic turn : philosophy and Jewish thought | Frontmatter -- Contents -- Acknowledgments -- Abbreviations -- Chronology of Levinas’s Talmudic Lectures at the Colloque des intellectuels juifs de langue française -- Introduction: God on Our Side / God on God’s Own Side -- 1 Being-Jewish, from Vilna to Paris -- 2 The Alliance Israélite Universelle, Shushani, and the École Normale Israélite Universelle -- 3 The Talmudic Lectures at the Colloque des intellectuels juifs de langue française -- 4 Hebrew into Greek: Translation and Exemplarism -- Conclusion: Constitutive Dissymmetry -- Notes -- Index -- Cultural Memory in the Present In this rich intellectual history of the French-Jewish philosopher Emmanuel Levinas's Talmudic lectures in Paris, Ethan Kleinberg addresses Levinas's Jewish life and its relation to his philosophical writings while making an argument for the role and importance of Levinas's Talmudic lessons. Pairing each chapter with a related Talmudic lecture, Kleinberg uses the distinction Levinas presents between "God on Our Side" and "God on God's Side" to provide two discrete and at times conflicting approaches to Levinas's Talmudic readings. One is historically situated and argued from "our side" while the other uses Levinas's Talmudic readings themselves to approach the issues as timeless and derived from "God on God's own side." Bringing the two approaches together, Kleinberg asks whether the ethical message and moral urgency of Levinas's Talmudic lectures can be extended beyond the texts and beliefs of a chosen people, religion, or even the seemingly primary unit of the self. Touching on Western philosophy, French Enlightenment universalism, and the Lithuanian Talmudic tradition, Kleinberg provides readers with a boundary-pushing investigation into the origins, influences, and causes of Levinas's turn to and use of Talmud | [
"['phi']",
"['rel']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Emmanuel Levinas's Talmudic turn : philosophy and Jewish thought
- Document Abstract: Frontmatter -- Contents -- Acknowledgments -- Abbreviations -- Chronology of Levinas’s Talmudic Lectures at the Colloque des intellectuels juifs de langue française -- Introduction: God on Our Side / God on God’s Own Side -- 1 Being-Jewish, from Vilna to Paris -- 2 The Alliance Israélite Universelle, Shushani, and the École Normale Israélite Universelle -- 3 The Talmudic Lectures at the Colloque des intellectuels juifs de langue française -- 4 Hebrew into Greek: Translation and Exemplarism -- Conclusion: Constitutive Dissymmetry -- Notes -- Index -- Cultural Memory in the Present In this rich intellectual history of the French-Jewish philosopher Emmanuel Levinas's Talmudic lectures in Paris, Ethan Kleinberg addresses Levinas's Jewish life and its relation to his philosophical writings while making an argument for the role and importance of Levinas's Talmudic lessons. Pairing each chapter with a related Talmudic lecture, Kleinberg uses the distinction Levinas presents between "God on Our Side" and "God on God's Side" to provide two discrete and at times conflicting approaches to Levinas's Talmudic readings. One is historically situated and argued from "our side" while the other uses Levinas's Talmudic readings themselves to approach the issues as timeless and derived from "God on God's own side." Bringing the two approaches together, Kleinberg asks whether the ethical message and moral urgency of Levinas's Talmudic lectures can be extended beyond the texts and beliefs of a chosen people, religion, or even the seemingly primary unit of the self. Touching on Western philosophy, French Enlightenment universalism, and the Lithuanian Talmudic tradition, Kleinberg provides readers with a boundary-pushing investigation into the origins, influences, and causes of Levinas's turn to and use of Talmud
- Document LIN Search class: ['phi'], ['rel']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A642783705.jsonld | New York Convention : Convention on the Recognition and Enforcement of Foreign Arbitral Awards of 10 June 1958 ; commentary | In a world characterised on the one hand by globalised trade and commerce, and on the other by deteriorating judicial services, arbitration has become the dispute resolution mechanism of choice in cross-border commercial transactions. International arbitration not only paves the way for parties to avoid state courts, it also facilitates the transnational enforceability of awards that are far more effective than the enforceability of state court judgments. The major instrument is the Convention on the Recognition and Enforcement of Foreign Arbitral Awards (New York Convention) of 10 June 1958, which entered into force one year after. Since then the New York Convention has been ratified by 144 states, including all the important trading nations. For good reason the New York Convention is labelled the Magna Carta of international arbitration. The courts of any contracting state are required 'to give effect to an agreement to arbitrate when seized of an action in a matter covered by an arbitration agreement and also to recognize and enforce awards made in other States, subject to specific limited exceptions' (UNCITRAL). The 16 articles of the Convention are dealt with article-by-article, following a clear structure which swiftly guides the reader to the issue that he or she is engaged with. Given the New York Convention's global relevance, it follows that potential users of the Convention are in need of guidance as to how to apply it. The primary readers of this book will be lawyers seeking (or defending against) recognition and enforcement of foreign arbitral awards worldwide, state court judges applying the Convention in recognition proceedings, and in-house lawyers in large and/or multinational enterprises dealing with transnational dispute resolution | [
"['jur']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: New York Convention : Convention on the Recognition and Enforcement of Foreign Arbitral Awards of 10 June 1958 ; commentary
- Document Abstract: In a world characterised on the one hand by globalised trade and commerce, and on the other by deteriorating judicial services, arbitration has become the dispute resolution mechanism of choice in cross-border commercial transactions. International arbitration not only paves the way for parties to avoid state courts, it also facilitates the transnational enforceability of awards that are far more effective than the enforceability of state court judgments. The major instrument is the Convention on the Recognition and Enforcement of Foreign Arbitral Awards (New York Convention) of 10 June 1958, which entered into force one year after. Since then the New York Convention has been ratified by 144 states, including all the important trading nations. For good reason the New York Convention is labelled the Magna Carta of international arbitration. The courts of any contracting state are required 'to give effect to an agreement to arbitrate when seized of an action in a matter covered by an arbitration agreement and also to recognize and enforce awards made in other States, subject to specific limited exceptions' (UNCITRAL). The 16 articles of the Convention are dealt with article-by-article, following a clear structure which swiftly guides the reader to the issue that he or she is engaged with. Given the New York Convention's global relevance, it follows that potential users of the Convention are in need of guidance as to how to apply it. The primary readers of this book will be lawyers seeking (or defending against) recognition and enforcement of foreign arbitral awards worldwide, state court judges applying the Convention in recognition proceedings, and in-house lawyers in large and/or multinational enterprises dealing with transnational dispute resolution
- Document LIN Search class: ['jur']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A661527646.jsonld | Fiscal policy, inequality and welfare | Research on Economic Inequality, Volume 10, Fiscal Policy, Inequality and Welfare contains ten papers, both theoretical and applied, on tax progressivity and tax and transfer equity. Theory topics covered include consumption tax equity, alternative definitions of tax progressivity, horizontal equity and reranking. The applied work includes studies of Australia's consumption taxes, Israel's national insurance tax system, Mexican transfer system, Canadian tax equity, trends in US tax and transfer progressivity and a study of the impact of the repeal of the US marriage tax penalty. | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Fiscal policy, inequality and welfare
- Document Abstract: Research on Economic Inequality, Volume 10, Fiscal Policy, Inequality and Welfare contains ten papers, both theoretical and applied, on tax progressivity and tax and transfer equity. Theory topics covered include consumption tax equity, alternative definitions of tax progressivity, horizontal equity and reranking. The applied work includes studies of Australia's consumption taxes, Israel's national insurance tax system, Mexican transfer system, Canadian tax equity, trends in US tax and transfer progressivity and a study of the impact of the repeal of the US marriage tax penalty.
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A597703310.jsonld | Transport Infrastructure Investment : Options for Efficiency | Surface transport plays a fundamental role in nearly all social and economic activity. Providing and maintaining the infrastructure consumes enormous resources. Thus, it is essential that this be carried out in the most efficient and effective way possible. Many options are available to provide surface transport infrastructure – public ministries and agencies, public-private partnerships (PPPs), state-owned companies, private and non-profit entities, and outright privatisation. There are also various means of paying for it, including user charging, subsidies, public borrowing or private financing. This report examines key principles that should be considered by governments in deciding how to provide and pay for surface transport infrastructure, with a view to best serving societies’ needs and employing public resources. It also considers the key issues that must be resolved in making more use of private financing and expertise. | [
"['oek']",
"['sow']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Transport Infrastructure Investment : Options for Efficiency
- Document Abstract: Surface transport plays a fundamental role in nearly all social and economic activity. Providing and maintaining the infrastructure consumes enormous resources. Thus, it is essential that this be carried out in the most efficient and effective way possible. Many options are available to provide surface transport infrastructure – public ministries and agencies, public-private partnerships (PPPs), state-owned companies, private and non-profit entities, and outright privatisation. There are also various means of paying for it, including user charging, subsidies, public borrowing or private financing. This report examines key principles that should be considered by governments in deciding how to provide and pay for surface transport infrastructure, with a view to best serving societies’ needs and employing public resources. It also considers the key issues that must be resolved in making more use of private financing and expertise.
- Document LIN Search class: ['oek'], ['sow']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1824030053.jsonld | Muslim subjectivity in Soviet Russia : the Memoirs of ’Abd al-Majid al-Qadiri | The world as seen by a Qur’an specialist in late imperial and early Soviet Russia. Our book tells a dramatic story of ’Abd al-Majid al-Qadiri, a Muslim individual born in the Kazakh lands and brought up in the Sufi environment of the South Urals, who memorized the entire Qur’an at the Mosque of the Prophet. In Russia he travelled widely, performing the Qur'an recitations. The Stalinist terror was merciless to him: in total, he spent fifteen years of his life in labour camps in Solovki, in the North, and Tashkent, in the south. At the end of his life, al-Qadiri wrote the fascinating memoirs that we analysed and translated in this book for the first time. Al-Qadiri’s life account allows us to look at the history of Islam in Russia from a new angle. His lively language provides access to everyday concerns of Russia’s Muslims, their personal interactions, their emotions, and the material world that surrounded them. Al-Qadiri’s book is a book of memory, full of personal drama and hope. | [
"['rel']",
"['his']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Muslim subjectivity in Soviet Russia : the Memoirs of ’Abd al-Majid al-Qadiri
- Document Abstract: The world as seen by a Qur’an specialist in late imperial and early Soviet Russia. Our book tells a dramatic story of ’Abd al-Majid al-Qadiri, a Muslim individual born in the Kazakh lands and brought up in the Sufi environment of the South Urals, who memorized the entire Qur’an at the Mosque of the Prophet. In Russia he travelled widely, performing the Qur'an recitations. The Stalinist terror was merciless to him: in total, he spent fifteen years of his life in labour camps in Solovki, in the North, and Tashkent, in the south. At the end of his life, al-Qadiri wrote the fascinating memoirs that we analysed and translated in this book for the first time. Al-Qadiri’s life account allows us to look at the history of Islam in Russia from a new angle. His lively language provides access to everyday concerns of Russia’s Muslims, their personal interactions, their emotions, and the material world that surrounded them. Al-Qadiri’s book is a book of memory, full of personal drama and hope.
- Document LIN Search class: ['rel'], ['his']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1648009891.jsonld | Decoupling the Environmental Impacts of Transport from Economic Growth | Transport activity continues to cause large adverse impacts on the environment, human health and the economy. But is a negative impact of transport on the environment a necessary consequence of economic growth? This book illustrates that decoupling the environmental impacts of transport from economic growth is achievable, through the efficient use of charges, fees, taxes and other economic instruments. These economic approaches can complement regulatory measures to encourage a shift towards more environmentally-friendly modes of transport, such as from road to certain forms of rail transport. Other factors which could help to decouple transport impacts from economic growth are improvements in freight transport logistics, and dematerialisation. | [
"['oek']",
"['cet']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Decoupling the Environmental Impacts of Transport from Economic Growth
- Document Abstract: Transport activity continues to cause large adverse impacts on the environment, human health and the economy. But is a negative impact of transport on the environment a necessary consequence of economic growth? This book illustrates that decoupling the environmental impacts of transport from economic growth is achievable, through the efficient use of charges, fees, taxes and other economic instruments. These economic approaches can complement regulatory measures to encourage a shift towards more environmentally-friendly modes of transport, such as from road to certain forms of rail transport. Other factors which could help to decouple transport impacts from economic growth are improvements in freight transport logistics, and dematerialisation.
- Document LIN Search class: ['oek'], ['cet']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1685481728.jsonld | Metal fatigue : effects of small defects and nonmetallic inclusions | Metal fatigue is an essential consideration for engineers and researchers looking at factors that cause metals to fail through stress, corrosion, or other processes. Predicting the influence of small defects and non-metallic inclusions on fatigue with any degree of accuracy is a particularly complex part of this. Metal Fatigue: Effects of Small Defects and Nonmetallic Inclusions is the most trusted, detailed and comprehensive guide to this subject available. This expanded second edition introduces highly important emerging topics on metal fatigue, pointing the way for further research and innovation. The methodology is based on important and reliable results and may be usefully applied to other fatigue problems not directly treated in this book | [
"['fer']",
"['phy']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Metal fatigue : effects of small defects and nonmetallic inclusions
- Document Abstract: Metal fatigue is an essential consideration for engineers and researchers looking at factors that cause metals to fail through stress, corrosion, or other processes. Predicting the influence of small defects and non-metallic inclusions on fatigue with any degree of accuracy is a particularly complex part of this. Metal Fatigue: Effects of Small Defects and Nonmetallic Inclusions is the most trusted, detailed and comprehensive guide to this subject available. This expanded second edition introduces highly important emerging topics on metal fatigue, pointing the way for further research and innovation. The methodology is based on important and reliable results and may be usefully applied to other fatigue problems not directly treated in this book
- Document LIN Search class: ['fer'], ['phy']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1678395110.jsonld | American literature and immediacy : literary innovation and the emergence of photography, film, and television | Klappentext: The search for immediacy, the desire to feel directly connected to people or events, has been a driving force in American literature and media culture for the past two centuries. This book offers the first in-depth study of literary immediacy effects. It shows how the heightened reality effects of photography, film, and television inspired American writers to create new literary forms that would enhance their readers' sense of immediate participation in the world. The study combines close readings of Emerson, Whitman, Stein, Dos Passos, Coover, Foster Wallace, and DeLillo with detailed considerations of visual media to open up a new perspective on literary innovation and the ongoing cultural quest for increased immediacy. It argues that we can better understand how American literature develops when we consider experiments with literary form, not only in literary and cultural contexts but also in relation to the emergence of new media, their immediacy effects, and the larger changes in social life that they manifest and provoke. Inhaltsverzeichnis: Cover -- Half-title page -- Series page -- Title page -- Copyright page -- Dedication -- Contents -- Acknowledgements -- The Quest for Immediacy in American Literature and Media Culture -- Part I Literary Immediacy and Photography -- 1 The Poet as "Exact Reporter of the Essential Law": Ralph Waldo Emerson's Poetics in the Context of Early Photography -- 2 "To Exalt the Present and the Real": Walt Whitman's Photographic Poetry -- 3 The Politics of Paying Attention: The Romantic Desire for Immediacy -- Part II Literary Immediacy and the Cinema -- 4 "Living Moving Pictures": The Thrills of Early Cinema -- 5 "Making a Cinema of It": Seriality and Presence in Gertrude Stein's Early Literary Portraits -- 6 "A Novel Like a Documentary Film": Cinematic Writing as Cultural Critique in John Dos Passos's Manhattan Transfer -- Part III Literary Immediacy and Television -- 7 Being There: Television's Aesthetics of Immediacy -- 8 For Real? The Critique of TV Culture in the Short Fiction of Robert Coover and David Foster Wallace -- 9 "Nothing Happens Until It Is Consumed": The Remediation of TV Images in Don DeLillo's Novel Mao II -- 10 Fiction in the Age of Television -- Still in Pursuit -- Notes -- Bibliography -- Index. | [
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: American literature and immediacy : literary innovation and the emergence of photography, film, and television
- Document Abstract: Klappentext: The search for immediacy, the desire to feel directly connected to people or events, has been a driving force in American literature and media culture for the past two centuries. This book offers the first in-depth study of literary immediacy effects. It shows how the heightened reality effects of photography, film, and television inspired American writers to create new literary forms that would enhance their readers' sense of immediate participation in the world. The study combines close readings of Emerson, Whitman, Stein, Dos Passos, Coover, Foster Wallace, and DeLillo with detailed considerations of visual media to open up a new perspective on literary innovation and the ongoing cultural quest for increased immediacy. It argues that we can better understand how American literature develops when we consider experiments with literary form, not only in literary and cultural contexts but also in relation to the emergence of new media, their immediacy effects, and the larger changes in social life that they manifest and provoke. Inhaltsverzeichnis: Cover -- Half-title page -- Series page -- Title page -- Copyright page -- Dedication -- Contents -- Acknowledgements -- The Quest for Immediacy in American Literature and Media Culture -- Part I Literary Immediacy and Photography -- 1 The Poet as "Exact Reporter of the Essential Law": Ralph Waldo Emerson's Poetics in the Context of Early Photography -- 2 "To Exalt the Present and the Real": Walt Whitman's Photographic Poetry -- 3 The Politics of Paying Attention: The Romantic Desire for Immediacy -- Part II Literary Immediacy and the Cinema -- 4 "Living Moving Pictures": The Thrills of Early Cinema -- 5 "Making a Cinema of It": Seriality and Presence in Gertrude Stein's Early Literary Portraits -- 6 "A Novel Like a Documentary Film": Cinematic Writing as Cultural Critique in John Dos Passos's Manhattan Transfer -- Part III Literary Immediacy and Television -- 7 Being There: Television's Aesthetics of Immediacy -- 8 For Real? The Critique of TV Culture in the Short Fiction of Robert Coover and David Foster Wallace -- 9 "Nothing Happens Until It Is Consumed": The Remediation of TV Images in Don DeLillo's Novel Mao II -- 10 Fiction in the Age of Television -- Still in Pursuit -- Notes -- Bibliography -- Index.
- Document LIN Search class: ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A865330484.jsonld | The Routledge diaspora studies reader | "The Routledge Diaspora Studies Reader provides a comprehensive resource for students and scholars working in this vital interdisciplinary field. The book traces the emergence and development of Diaspora Studies as a field of scholarship, presenting key critical essays alongside more recent criticism that explores new directions. It also includes seminal essays that have been updated specifically for this collection, as well as brand new papers. The volume presents: substantial introductions to each section that situate each work within its historical, disciplinary and theoretical contexts essays grouped by key subject areas including Nation, Globalization, Postcolonialism, Race and Ethnicity, Multiculturalism, Intersectionality, Gender and Sexuality, Home and Belonging, Spaces, Hybridity, Religion, Literature, Visual Culture, and Digital Media writings by major figures including Robin Cohen, Homi Bhabha, Avtar Brah, Khachig Tölölyan, Pnina Werbner, Vijay Mishra, Paul Gilroy, Salman Rushdie, Stuart Hall, and Arjun Appadurai The Routledge Diaspora Studies Reader is a field-defining volume that presents an illuminating guide for established scholars and also those new to diaspora. Its accessible format offers a valuable resource, including suggestions for further reading and a glossary of key terms"--Provided by publisher | [
"['sow']",
"['lit']",
"['lin']",
"['his']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The Routledge diaspora studies reader
- Document Abstract: "The Routledge Diaspora Studies Reader provides a comprehensive resource for students and scholars working in this vital interdisciplinary field. The book traces the emergence and development of Diaspora Studies as a field of scholarship, presenting key critical essays alongside more recent criticism that explores new directions. It also includes seminal essays that have been updated specifically for this collection, as well as brand new papers. The volume presents: substantial introductions to each section that situate each work within its historical, disciplinary and theoretical contexts essays grouped by key subject areas including Nation, Globalization, Postcolonialism, Race and Ethnicity, Multiculturalism, Intersectionality, Gender and Sexuality, Home and Belonging, Spaces, Hybridity, Religion, Literature, Visual Culture, and Digital Media writings by major figures including Robin Cohen, Homi Bhabha, Avtar Brah, Khachig Tölölyan, Pnina Werbner, Vijay Mishra, Paul Gilroy, Salman Rushdie, Stuart Hall, and Arjun Appadurai The Routledge Diaspora Studies Reader is a field-defining volume that presents an illuminating guide for established scholars and also those new to diaspora. Its accessible format offers a valuable resource, including suggestions for further reading and a glossary of key terms"--Provided by publisher
- Document LIN Search class: ['sow'], ['lit'], ['lin'], ['his']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1612163815.jsonld | Supramolecular soft matter : applications in materials and organic electronics | "This book covers molecular design and synthesis, as well as the development of smart molecular assemblies, for organic electronic systems"-- "This book covers molecular design and synthesis, as well as the development of smart molecular assemblies, for organic electronic systems. It identifies concepts that hold promise for successful development of organic/polymeric electronics with real-world applications. Unlike other books, this is not simply a compilation of current trends in supramolecular soft matter. The chapters, written by leading researchers, help readers understand and manipulate the electronic properties of supramolecular soft materials for use in organic electronic devices, such as photovoltaics and field effect transistors, some of the most desired materials for energy conservation"-- | [
"['elt']",
"['che']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Supramolecular soft matter : applications in materials and organic electronics
- Document Abstract: "This book covers molecular design and synthesis, as well as the development of smart molecular assemblies, for organic electronic systems"-- "This book covers molecular design and synthesis, as well as the development of smart molecular assemblies, for organic electronic systems. It identifies concepts that hold promise for successful development of organic/polymeric electronics with real-world applications. Unlike other books, this is not simply a compilation of current trends in supramolecular soft matter. The chapters, written by leading researchers, help readers understand and manipulate the electronic properties of supramolecular soft materials for use in organic electronic devices, such as photovoltaics and field effect transistors, some of the most desired materials for energy conservation"--
- Document LIN Search class: ['elt'], ['che']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1634611144.jsonld | Reconsidering Obama : reflections on rhetoric | Introduction / Robert E. Terrill, Indiana University -- Rhetorical charges: mercurian figures and democratic hope after Obama / Peter Simonson, University of Colorado Boulder -- A wrestling of brothers: (re)writing Obama separately and together (again) / David A. Frank, University of Oregon & Mark Lawrence McPhail, Indiana University Northwest -- Barack Obama's neo-racial responses to black death / Amy L. Heyse, California State University, Long Beach & Ebony A. Utley, California State University, Long Beach -- Obama's rhetoric of myth and reason / Robert C. Rowland, The University of Kansas -- Barack Obama at the threshold of a new America / Robert L. Ivie, Indiana University & Oscar Giner, Arizona State University -- The once and future teleological discourse of Barack Obama / Richard W. Leeman, University of North Carolina at Charlotte -- Testing the narrative signature perspective: the case of Obama and health care reform / Martin J. Medhurst, Baylor University -- Losing patience with an imperfect president and imperfect people / Derek R. Sweet, Luther College & Margret McCue-Enser, Saint Catherine University -- How selective amnesia brought us the first Black Socialist president of the United States / Kristen Hoerl, University of Nebraska-Lincoln -- A reflection on the Obama phenomenon, our heroic expectations, and the Obama presidency / Jennifer R. Mercieca, Texas A&M University | [
"['sow']",
"['his']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Reconsidering Obama : reflections on rhetoric
- Document Abstract: Introduction / Robert E. Terrill, Indiana University -- Rhetorical charges: mercurian figures and democratic hope after Obama / Peter Simonson, University of Colorado Boulder -- A wrestling of brothers: (re)writing Obama separately and together (again) / David A. Frank, University of Oregon & Mark Lawrence McPhail, Indiana University Northwest -- Barack Obama's neo-racial responses to black death / Amy L. Heyse, California State University, Long Beach & Ebony A. Utley, California State University, Long Beach -- Obama's rhetoric of myth and reason / Robert C. Rowland, The University of Kansas -- Barack Obama at the threshold of a new America / Robert L. Ivie, Indiana University & Oscar Giner, Arizona State University -- The once and future teleological discourse of Barack Obama / Richard W. Leeman, University of North Carolina at Charlotte -- Testing the narrative signature perspective: the case of Obama and health care reform / Martin J. Medhurst, Baylor University -- Losing patience with an imperfect president and imperfect people / Derek R. Sweet, Luther College & Margret McCue-Enser, Saint Catherine University -- How selective amnesia brought us the first Black Socialist president of the United States / Kristen Hoerl, University of Nebraska-Lincoln -- A reflection on the Obama phenomenon, our heroic expectations, and the Obama presidency / Jennifer R. Mercieca, Texas A&M University
- Document LIN Search class: ['sow'], ['his']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1793559570.jsonld | Nineteenth-century American literature in transition ; volume 2: American literature in transition, 1820-1860 | "Nineteenth-Century American Literature in Transition provides an omnibus account of American literature and its ever-evolving field of study. Emphasizing the ways in which American literature has been in transition ever since its founding, this revisionary series examines four phases of American literary history, focusing on the movements, forms, and media that developed from the late eighteenth to the early twentieth century. The mutable nature of American literature is explored throughout these volumes, which consider a diverse and dynamic set of authors, texts, and methods. Encompassing the full range of today's literary scholarship, this series is an essential guide to the study of nineteenth-century American literature and culture"-- Introduction: Literature for democracy / Justine S. Murison -- Hemisphere / Rodrigo Lazo -- Empire / John Levi Barnard -- Economy / David Anthony -- Religion / Christine Hedlin and Toni Wall Jaudon -- Nature / Kyla Schuller -- Removal / Gina Caison -- Abolition / Martha Schoolman -- Romance / Emily Ogden -- Theatre / Michelle Granshaw -- Popular poetry / Michael C. Cohen -- Sentimentality / Tess Chakkalakal -- African American print culture / Derrick Spires -- Sexuality in print / Jordan Alexander Stein -- Seriality / Dale Bauer -- Unoriginality / Claudia Stokes -- Apess/Sedgwick / Ashley Reed -- Child/Thoreau / Susan Ryan -- Douglass/Walker / Marcy Dinius -- Emerson/Poe / Christopher Hanlon -- Fuller/Stowe / Dorri Beam -- Hawthorne/Winthrop / Christopher Castiglia -- Melville/Whitman / Kelly Ross -- Harper/Stewart / Nazera Sadiq Wright. | [
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Nineteenth-century American literature in transition ; volume 2: American literature in transition, 1820-1860
- Document Abstract: "Nineteenth-Century American Literature in Transition provides an omnibus account of American literature and its ever-evolving field of study. Emphasizing the ways in which American literature has been in transition ever since its founding, this revisionary series examines four phases of American literary history, focusing on the movements, forms, and media that developed from the late eighteenth to the early twentieth century. The mutable nature of American literature is explored throughout these volumes, which consider a diverse and dynamic set of authors, texts, and methods. Encompassing the full range of today's literary scholarship, this series is an essential guide to the study of nineteenth-century American literature and culture"-- Introduction: Literature for democracy / Justine S. Murison -- Hemisphere / Rodrigo Lazo -- Empire / John Levi Barnard -- Economy / David Anthony -- Religion / Christine Hedlin and Toni Wall Jaudon -- Nature / Kyla Schuller -- Removal / Gina Caison -- Abolition / Martha Schoolman -- Romance / Emily Ogden -- Theatre / Michelle Granshaw -- Popular poetry / Michael C. Cohen -- Sentimentality / Tess Chakkalakal -- African American print culture / Derrick Spires -- Sexuality in print / Jordan Alexander Stein -- Seriality / Dale Bauer -- Unoriginality / Claudia Stokes -- Apess/Sedgwick / Ashley Reed -- Child/Thoreau / Susan Ryan -- Douglass/Walker / Marcy Dinius -- Emerson/Poe / Christopher Hanlon -- Fuller/Stowe / Dorri Beam -- Hawthorne/Winthrop / Christopher Castiglia -- Melville/Whitman / Kelly Ross -- Harper/Stewart / Nazera Sadiq Wright.
- Document LIN Search class: ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1652146237.jsonld | Transport Phenomena in Strongly Correlated Fermi Liquids | In conventional metals, various transport coefficients are scaled according to the quasiparticle relaxation time, \tau, which implies that the relaxation time approximation (RTA) holds well. However, such a simple scaling does not hold in many strongly correlated electron systems, reflecting their unique electronic states. The most famous example would be cuprate high-Tc superconductors (HTSCs), where almost all the transport coefficients exhibit a significant deviation from the RTA results. To better understand the origin of this discrepancy, we develop a method for calculating various transport coefficients beyond the RTA by employing field theoretical techniques. Near the magnetic quantum critical point, the current vertex correction (CVC), which describes the electron-electron scattering beyond the relaxation time approximation, gives rise to various anomalous transport phenomena. We explain anomalous transport phenomena in cuprate HTSCs and other metals near their magnetic or orbital quantum critical point using a uniform approach. We also discuss spin related transport phenomena in strongly correlated systems. In many d- and f-electron systems, the spin current induced by the spin Hall effect is considerably greater because of the orbital degrees of freedom. This fact attracts much attention due to its potential application in spintronics. We discuss various novel charge, spin and heat transport phenomena in strongly correlated metals | [
"['phy']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Transport Phenomena in Strongly Correlated Fermi Liquids
- Document Abstract: In conventional metals, various transport coefficients are scaled according to the quasiparticle relaxation time, \tau, which implies that the relaxation time approximation (RTA) holds well. However, such a simple scaling does not hold in many strongly correlated electron systems, reflecting their unique electronic states. The most famous example would be cuprate high-Tc superconductors (HTSCs), where almost all the transport coefficients exhibit a significant deviation from the RTA results. To better understand the origin of this discrepancy, we develop a method for calculating various transport coefficients beyond the RTA by employing field theoretical techniques. Near the magnetic quantum critical point, the current vertex correction (CVC), which describes the electron-electron scattering beyond the relaxation time approximation, gives rise to various anomalous transport phenomena. We explain anomalous transport phenomena in cuprate HTSCs and other metals near their magnetic or orbital quantum critical point using a uniform approach. We also discuss spin related transport phenomena in strongly correlated systems. In many d- and f-electron systems, the spin current induced by the spin Hall effect is considerably greater because of the orbital degrees of freedom. This fact attracts much attention due to its potential application in spintronics. We discuss various novel charge, spin and heat transport phenomena in strongly correlated metals
- Document LIN Search class: ['phy']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1802128263.jsonld | Refractions | Put simply, refraction describes a change in the direction of light or sound due to a change in the medium the light or sound goes through. Writing a Bachelor’s or Master’s thesis means changing the direction of light shed on a particular text or topic, as the theses collected in this volume conclusively show: A dystopian novel is shown to hinge on questions of animal rights; a complex novelistic structure is revealed to have its origins in scientific discourses; a clearly Gothic novel has its foundation in aesthetic Christianity, to outline just some of the topics. All these papers have in common that they take a well-known text or idea and change the angle through which it is read and analysed – and suddenly a rainbow of new insights is created. | [
"['rest']",
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Refractions
- Document Abstract: Put simply, refraction describes a change in the direction of light or sound due to a change in the medium the light or sound goes through. Writing a Bachelor’s or Master’s thesis means changing the direction of light shed on a particular text or topic, as the theses collected in this volume conclusively show: A dystopian novel is shown to hinge on questions of animal rights; a complex novelistic structure is revealed to have its origins in scientific discourses; a clearly Gothic novel has its foundation in aesthetic Christianity, to outline just some of the topics. All these papers have in common that they take a well-known text or idea and change the angle through which it is read and analysed – and suddenly a rainbow of new insights is created.
- Document LIN Search class: ['rest'], ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A086237365.jsonld | Paging New Jersey : a literary guide to the Garden State | Philip Freneau -- James Fenimore Cooper -- Mary Griffith -- Walt Whitman -- Mary Mapes Dodge -- Thomas Nast -- Mary Wilkins Freeman -- Stephen Crane -- Albert Payson Terhune -- William Carlos Williams -- Joyce Kilmer -- Allen Ginsberg -- Mary Higgins Clark -- Toni Morrison -- Amiri Baraka -- Joyce Carol Oates -- Peter Benchley -- Anna Quindlen -- Cheaper by the dozen -- Goodbye, Columbus -- The Pine Barrens -- Eddie and the Cruisers -- Jersey luck -- Rosamund's vision -- Laying down the law -- One for the money -- Our guys -- Lost legends of New Jersey -- Searching for Captain Kidd's treasure -- Burr, Hamilton, and the duel of history in Weehawken -- The Lindbergh baby kidnapping -- The Hindenburg disaster -- The trials of Rubin "Hurricane" Carter -- Mobbed in New Jersey -- On the (paper) trail of the New Jersey Devil -- Dodge Poetry Festival -- The New Jersey Literary Hall of Fame -- Stages of greatness: a survey of the history of theater in New Jersey -- Reaching critical mass in the Garden State -- Stoned in New Jersey | [
"['his']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Paging New Jersey : a literary guide to the Garden State
- Document Abstract: Philip Freneau -- James Fenimore Cooper -- Mary Griffith -- Walt Whitman -- Mary Mapes Dodge -- Thomas Nast -- Mary Wilkins Freeman -- Stephen Crane -- Albert Payson Terhune -- William Carlos Williams -- Joyce Kilmer -- Allen Ginsberg -- Mary Higgins Clark -- Toni Morrison -- Amiri Baraka -- Joyce Carol Oates -- Peter Benchley -- Anna Quindlen -- Cheaper by the dozen -- Goodbye, Columbus -- The Pine Barrens -- Eddie and the Cruisers -- Jersey luck -- Rosamund's vision -- Laying down the law -- One for the money -- Our guys -- Lost legends of New Jersey -- Searching for Captain Kidd's treasure -- Burr, Hamilton, and the duel of history in Weehawken -- The Lindbergh baby kidnapping -- The Hindenburg disaster -- The trials of Rubin "Hurricane" Carter -- Mobbed in New Jersey -- On the (paper) trail of the New Jersey Devil -- Dodge Poetry Festival -- The New Jersey Literary Hall of Fame -- Stages of greatness: a survey of the history of theater in New Jersey -- Reaching critical mass in the Garden State -- Stoned in New Jersey
- Document LIN Search class: ['his']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A749266872.jsonld | Laser Cooling and Trapping | Laser cooling is a relatively new technique that has led to insights into the behavior of atoms as well as confirming with striking detail some of the fundamental notions of quantum mechanics, such as the condensation predicted by S.N. Bose. This elegant technique, whereby atoms, molecules, and even microscopic beads of glass, are trapped in small regions of free space by beams of light and subsequently moved at will using other beams, provides a useful research tool for the study of individual atoms and clusters of atoms, for investigating the details of chemical reactions, and even for determining the physical properties of individual macromolecules such as synthetic polymers and DNA. Intended for advanced undergraduates and beginning graduate students who have some basic knowledge of optics and quantum mechanics, this text begins with a review of the relevant results of quantum mechanics, it then turns to the electromagnetic interactions involved in slowing and trapping atoms and ions, in both magnetic and optical traps. The concluding chapters discuss a broad range of applications, from atomic clocks and studies of collision processes to diffraction and interference of atomic beams at optical lattices and Bose-Einstein condensation | [
"['phy']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Laser Cooling and Trapping
- Document Abstract: Laser cooling is a relatively new technique that has led to insights into the behavior of atoms as well as confirming with striking detail some of the fundamental notions of quantum mechanics, such as the condensation predicted by S.N. Bose. This elegant technique, whereby atoms, molecules, and even microscopic beads of glass, are trapped in small regions of free space by beams of light and subsequently moved at will using other beams, provides a useful research tool for the study of individual atoms and clusters of atoms, for investigating the details of chemical reactions, and even for determining the physical properties of individual macromolecules such as synthetic polymers and DNA. Intended for advanced undergraduates and beginning graduate students who have some basic knowledge of optics and quantum mechanics, this text begins with a review of the relevant results of quantum mechanics, it then turns to the electromagnetic interactions involved in slowing and trapping atoms and ions, in both magnetic and optical traps. The concluding chapters discuss a broad range of applications, from atomic clocks and studies of collision processes to diffraction and interference of atomic beams at optical lattices and Bose-Einstein condensation
- Document LIN Search class: ['phy']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1778541852.jsonld | Yeats's Legacies : Yeats Annual No. 21 | "The two great Yeats Family Sales of 2017 and the legacy of the Yeats family’s 80-year tradition of generosity to Ireland’s great cultural institutions provide the kaleidoscope through which these advanced research essays find their theme. Hannah Sullivan’s brilliant history of Yeats’s versecraft challenges Poundian definitions of Modernism; Denis Donoghue offers unique family memories of 1916 whilst tracing the political significance of the Easter Rising; Anita Feldman addresses Yeats’s responses to the Rising’s appropriation of his symbols and myths, the daring artistry of his ritual drama developed from Noh, his poetry of personal utterance, and his vision of art as a body reborn rather than a treasure preserved amid the testing of the illusions that hold civilizations together in ensuing wars. Warwick Gould looks at Yeats as founding Senator in the new Free State, and his valiant struggle against the literary censorship law of 1929 (with its present-day legacy of Irish anti-blasphemy law still presenting a constitutional challenge). Drawing on Gregory Estate documents, James Pethica looks at the evictions which preceded Yeats’s purchase of Thoor Ballylee in Galway; Lauren Arrington looks back at Yeats, Ezra Pound, and the Ghosts of The Winding Stair (1929) in Rapallo. Having co-edited both versions of A Vision, Catherine Paul offers some profound reflections on ‘Yeats and Belief’. Grevel Lindop provides a pioneering view of Yeats’s impact on English mystical verse and on Charles Williams who, while at Oxford University Press, helped publish the Oxford Book of Modern Verse. Stanley van der Ziel looks at the presence of Shakespeare in Yeats’s Purgatory. William H. O’Donnell examines the vexed textual legacy of his late work, On the Boiler while Gould considers the challenge Yeats’s intentionalism posed for once-fashionable post-structuralist editorial theory. John Kelly recovers a startling autobiographical short story by Maud Gonne. While nine works of current biographical, textual and literary scholarship are reviewed, Maud Gonne is the focus of debate for two reviewers, as are Eva Gore-Booth, Constance and Casimir Markievicz, Rudyard Kipling, David Jones, T. S. Eliot and his presence on the radio. " | [
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Yeats's Legacies : Yeats Annual No. 21
- Document Abstract: "The two great Yeats Family Sales of 2017 and the legacy of the Yeats family’s 80-year tradition of generosity to Ireland’s great cultural institutions provide the kaleidoscope through which these advanced research essays find their theme. Hannah Sullivan’s brilliant history of Yeats’s versecraft challenges Poundian definitions of Modernism; Denis Donoghue offers unique family memories of 1916 whilst tracing the political significance of the Easter Rising; Anita Feldman addresses Yeats’s responses to the Rising’s appropriation of his symbols and myths, the daring artistry of his ritual drama developed from Noh, his poetry of personal utterance, and his vision of art as a body reborn rather than a treasure preserved amid the testing of the illusions that hold civilizations together in ensuing wars. Warwick Gould looks at Yeats as founding Senator in the new Free State, and his valiant struggle against the literary censorship law of 1929 (with its present-day legacy of Irish anti-blasphemy law still presenting a constitutional challenge). Drawing on Gregory Estate documents, James Pethica looks at the evictions which preceded Yeats’s purchase of Thoor Ballylee in Galway; Lauren Arrington looks back at Yeats, Ezra Pound, and the Ghosts of The Winding Stair (1929) in Rapallo. Having co-edited both versions of A Vision, Catherine Paul offers some profound reflections on ‘Yeats and Belief’. Grevel Lindop provides a pioneering view of Yeats’s impact on English mystical verse and on Charles Williams who, while at Oxford University Press, helped publish the Oxford Book of Modern Verse. Stanley van der Ziel looks at the presence of Shakespeare in Yeats’s Purgatory. William H. O’Donnell examines the vexed textual legacy of his late work, On the Boiler while Gould considers the challenge Yeats’s intentionalism posed for once-fashionable post-structuralist editorial theory. John Kelly recovers a startling autobiographical short story by Maud Gonne. While nine works of current biographical, textual and literary scholarship are reviewed, Maud Gonne is the focus of debate for two reviewers, as are Eva Gore-Booth, Constance and Casimir Markievicz, Rudyard Kipling, David Jones, T. S. Eliot and his presence on the radio. "
- Document LIN Search class: ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1762832038.jsonld | Herbicides and plant physiology | "This Third Edition aims to update the reader on how herbicides contribute to modern agriculture, how they are discovered and developed, and interact with plant growth and development, and the environment. Since the publication of the Second Edition in 2010 there have been many advances in our understanding of plant physiology, especially regarding how plants function in tune with their ever-changing environment and how post-translational modifications provide regulatory control of most plant processes. Modern agriculture, however, still faces many challenges. The starting point of this book is weed biology. Subsequent chapters consider the modern plant protection products industry, how herbicides are discovered and developed, how they gain entry into the plant and move to their sites of action, and the basis of herbicide selectivity. Detailed and updated accounts follow of how herbicides interact with the major physiological processes in plants, leading to weed control. This begins with the inhibition of photosynthesis; followed by pigment biosynthesis; interactions with the plant growth regulator, auxin; lipid biosynthesis; amino acid biosynthesis; cell division; cellulose biosynthesis; the plant kinome; herbicide resistance; the development of genetically-modified-herbicide resistant crops and a consideration of some new targets for the future development of new herbicides"-- | [
"['hor']",
"['bio']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Herbicides and plant physiology
- Document Abstract: "This Third Edition aims to update the reader on how herbicides contribute to modern agriculture, how they are discovered and developed, and interact with plant growth and development, and the environment. Since the publication of the Second Edition in 2010 there have been many advances in our understanding of plant physiology, especially regarding how plants function in tune with their ever-changing environment and how post-translational modifications provide regulatory control of most plant processes. Modern agriculture, however, still faces many challenges. The starting point of this book is weed biology. Subsequent chapters consider the modern plant protection products industry, how herbicides are discovered and developed, how they gain entry into the plant and move to their sites of action, and the basis of herbicide selectivity. Detailed and updated accounts follow of how herbicides interact with the major physiological processes in plants, leading to weed control. This begins with the inhibition of photosynthesis; followed by pigment biosynthesis; interactions with the plant growth regulator, auxin; lipid biosynthesis; amino acid biosynthesis; cell division; cellulose biosynthesis; the plant kinome; herbicide resistance; the development of genetically-modified-herbicide resistant crops and a consideration of some new targets for the future development of new herbicides"--
- Document LIN Search class: ['hor'], ['bio']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1666327433.jsonld | Sustainability economics | Recommended readings (Machine generated): 1. Kenneth E. Boulding (1966), 'The Economics of the Coming Spaceship Earth', in Henry Jarrett (ed.), Environmental Quality In a Growing Economy, Chapter One, Baltimore, MD, USA and London, UK: Johns Hopkins Press, 3-14 -- 2. Herman E. Daly (1974), 'The Economics of the Steady State', American Economic Review: Papers and Proceedings, 64 (2), May, 15-21 -- 3. David Pearce (1976), 'The Limits of Cost-Benefit Analysis as a Guide to Environmental Policy', Kyklos, 29 (1), January, 97-111 -- 4. Gro Harlem Brundtland (1985), 'World Commission on Environment and Development - Statements of the Chairman', Environmental Policy and Law, 14 (1), March, 26-30 -- 5. Mick Common and Charles Perrings (1992), 'Towards an Ecological Economics of Sustainability', Ecological Economics, 6 (1), July, 7-34 -- 6. Robert U. Ayres (2008), 'Sustainability Economics: Where Do We Stand?', Ecological Economics, 67 (2), September, 281-310 -- 7. Partha Dasgupta and Geoffrey Heal (1974), 'The Optimal Depletion of Exhaustible Resources', Review of Economic Studies: Symposium on the Economics of Exhaustible Resources, 41 (5), December, 3-28 -- 8. R. M. Solow (1974), 'Intergenerational Equity and Exhaustible Resources', Review of Economic Studies: Symposium on the Economics of Exhaustible Resources, 41 (5), December, 29-45 -- 9. John M. Hartwick (1977), 'Intergenerational Equity and the Investing of Rents from Exhaustible Resources', American Economic Review, 67 (5), December, 972-74 -- 10. Robert M. Solow (1986), 'On the Intergenerational Allocation of Natural Resources', Scandinavian Journal of Economics: Growth and Distribution: Intergenerational Problems, 88 (1), March, 141-49 -- 11. John Pezzey (1992), 'Sustainability: An Interdisciplinary Guide', Environmental Values, 1 (4), Winter, 321-62 -- 12. Partha Dasgupta and Karl-Göran Mäler (2000), 'Net National Product, Wealth, and Social Well-Being', Environment and Development Economics, 5 (1), February, 69-93 -- 13. Kirk Hamilton and John M. Hartwick (2005), 'Investing Exhaustible Resource Rents and the Path of Consumption', Canadian Journal of Economics, 38 (2), May, 615-21 -- 14. Kirk Hamilton and Cees Withagen (2007), 'Savings Growth and the Path of Utility', Canadian Journal of Economics, 40 (2), May, 703-13 -- 15. Martin L. Weitzman (1976), 'On the Welfare Significance of National Product in a Dynamic Economy', Quarterly Journal of Economics, 90 (1), February, 156-62 -- 16. John M. Hartwick (1990), 'Natural Resources, National Accounting and Economic Depreciation', Journal of Public Economics, 43 (3), December, 291-304 -- 17. David W. Pearce and Giles D. Atkinson (1993), 'Capital Theory and the Measurement of Sustainable Development: An Indicator of "Weak" Sustainability', Ecological Economics, 8 (2), October, 103-8 -- 18. Kirk Hamilton and Michael Clemens (1999), 'Genuine Savings Rates in Developing Countries', World Bank Economic Review, 13 (2), May, 333-56 -- 19. Kenneth J. Arrow, Partha Dasgupta, Lawrence H. Goulder, Kevin J. Mumford and Kirsten Oleson (2012), 'Sustainability and the Measurement of Wealth', Environment and Development Economics, 17 (3), June, 317-53 39. Christa N. Brunnschweiler and Erwin H. Bulte (2008), 'The Resource Curse Revisited and Revised: A Tale of Paradoxes and Red Herrings', Journal of Environmental Economics and Management, 55 (3), May, 248-64 -- 40. David I. Stern (2004), 'The Rise and Fall of the Environmental Kuznets Curve', World Development, 32 (8), August, 1419-39 -- 41. Joan Martínez-Alier, Unai Pascual, Franck-Dominique Vivien and Edwin Zaccai (2010), 'Sustainable De-Growth: Mapping the Context, Criticisms and Future Prospects of an Emergent Paradigm', Ecological Economics, 69 (9), July, 1741-47 -- 42. Alex Bowen and Samuel Fankhauser (2011), 'The Green Growth Narrative: Paradigm Shift or Just Spin?', Global Environmental Change, 21 (4), October, 1157-59 -- 43. Michael E. Porter and Claas van der Linde (1995), 'Toward a New Conception of the Environment-Competitiveness Relationship', Journal of Economic Perspectives, 9 (4), Fall, 97-118 20. Elena G. Irwin, Sathya Gopalakrishnan and Alan Randall (2016), 'Welfare, Wealth, and Sustainability', Annual Review of Resource Economics, 8, October, 77-98 -- 21. Brian Walker, Leonie Pearson, Michael Harris, Karl-Göran Mäler, Chuan-Zhong Li, Reinette Biggs and Tim Baynes (2010), 'Incorporating Resilience in the Assessment of Inclusive Wealth: An Example from South East Australia', Environmental and Resource Economics, 45 (2), February, 183-202 -- 22. James Boyd and Spencer Banzhaf (2007), 'What Are Ecosystem Services? The Need for Standardized Environmental Accounting Units', Ecological Economics, 63 (2-3), August, 616-26 -- 23. Ian J. Bateman, Georgina M. Mace, Carlo Fezzi, Giles Atkinson and Kerry Turner (2011), 'Economic Analysis for Ecosystem Service Assessments', Environmental and Resource Economics, 48 (2), February, 177-218 -- 24. Brendan Fisher, R. Kerry Turner and Paul Morling (2009), 'Defining and Classifying Ecosystem Services for Decision Making', Ecological Economics, 68 (3), January, 643-53 -- 25. Eli P. Fenichel and Joshua K. Abbott (2014), 'Natural Capital: From Metaphor to Measurement', Journal of the Association of Environmental and Resource Economists, 1 (1-2), Spring-Summer, 1-27 -- 26. Mathis Wackernagel, Larry Onisto, Patricia Bello, Alejandro Callejas Linares, Ina Susana López Falfán, Jesus Méndez García, Ana Isabel Suárez Guerrero and Ma. Guadalupe Suárez Guerrero (1999), 'National Natural Capital Accounting with the Ecological Footprint Concept', Ecological Economics, 29 (3), June, 375-90 -- 27. E. B. Barbier, A. Markandya and D. W. Pearce (1990), 'Environmental Sustainability and Cost-Benefit Analysis', Environment and Planning A, 22 (9), September, 1259-66 -- 28. Giles Atkinson and Susana Mourato (2008), 'Environmental Cost-Benefit Analysis', Annual Review of Environment and Resources, 33, November, 317-44 -- 29. Richard T. Carson (2012), 'Contingent Valuation: A Practical Alternative when Prices Aren't Available', Journal of Economic Perspectives, 26 (4), Fall, 27-42 -- 30. Anil Markandya and David W. Pearce (1991), 'Development, the Environment, and the Social Rate of Discount', World Bank Research Observer, 6 (2), July, 137-52 -- 31. Partha Dasgupta (2008), 'Discounting Climate Change', Journal of Risk and Uncertainty, 37 (2-3), December, 141-69 -- 32. Nicholas Stern (2014), 'Ethics, Equity and the Economics of Climate Change - Paper 2: Economics and Politics', Economics and Philosophy, 30 (3), November, 445-501 -- 33. Robert S. Pindyck (2007), 'Uncertainty in Environmental Economics', Review of Environmental Economics and Policy, 1 (1), Winter, 45-65 -- 34. Martin L. Weitzman (2009), 'On Modeling and Interpreting the Economics of Catastrophic Climate Change', Review of Economics and Statistics, XCI (1), February, 1-19 -- 35. Geoffrey Heal and Antony Millner (2014), 'Reflections: Uncertainty and Decision Making in Climate Change Economics', Review of Environmental Economics and Policy, 8 (1), Winter, 120-37 -- 36. John Luke Gallup, Jeffrey D. Sachs and Andrew D. Mellinger (1999), 'Geography and Economic Development', International Regional Science Review, 22 (2), August, 179-223, 225-232 -- 37. Melissa Dell, Benjamin F. Jones and Benjamin A. Olken (2012), 'Temperature Shocks and Economic Growth: Evidence from the Last Half Century', American Economic Journal: Macroeconomics, 4 (3), July, 66-95 -- 38. Jeffrey D. Sachs and Andrew M. Warner (2001), 'The Curse of Natural Resources', European Economic Review, 45 (4-6), May, 827-38 The unprecedented advances in economic development witnessed over the past decades cannot continue if economic progress comes at the expense of the natural environment. The Sustainable Development Goals, agreed globally in 2015, define a vision of human development where economic, social and environmental domains interact to shape the prospects for future prosperity. This timely literature review highlights the contribution of economics to the study of sustainable development. It discusses some of the most influential articles on the topic by economists over the past fifty years. Environmental sustainability, an inherently interdisciplinary topic, is analysed from the perspectives of applied microeconomics, environmental and resource economics, ecological economics, development economics and public economics. Written by two subject experts, this research review is indispensable for anyone interested or working in the field | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Sustainability economics
- Document Abstract: Recommended readings (Machine generated): 1. Kenneth E. Boulding (1966), 'The Economics of the Coming Spaceship Earth', in Henry Jarrett (ed.), Environmental Quality In a Growing Economy, Chapter One, Baltimore, MD, USA and London, UK: Johns Hopkins Press, 3-14 -- 2. Herman E. Daly (1974), 'The Economics of the Steady State', American Economic Review: Papers and Proceedings, 64 (2), May, 15-21 -- 3. David Pearce (1976), 'The Limits of Cost-Benefit Analysis as a Guide to Environmental Policy', Kyklos, 29 (1), January, 97-111 -- 4. Gro Harlem Brundtland (1985), 'World Commission on Environment and Development - Statements of the Chairman', Environmental Policy and Law, 14 (1), March, 26-30 -- 5. Mick Common and Charles Perrings (1992), 'Towards an Ecological Economics of Sustainability', Ecological Economics, 6 (1), July, 7-34 -- 6. Robert U. Ayres (2008), 'Sustainability Economics: Where Do We Stand?', Ecological Economics, 67 (2), September, 281-310 -- 7. Partha Dasgupta and Geoffrey Heal (1974), 'The Optimal Depletion of Exhaustible Resources', Review of Economic Studies: Symposium on the Economics of Exhaustible Resources, 41 (5), December, 3-28 -- 8. R. M. Solow (1974), 'Intergenerational Equity and Exhaustible Resources', Review of Economic Studies: Symposium on the Economics of Exhaustible Resources, 41 (5), December, 29-45 -- 9. John M. Hartwick (1977), 'Intergenerational Equity and the Investing of Rents from Exhaustible Resources', American Economic Review, 67 (5), December, 972-74 -- 10. Robert M. Solow (1986), 'On the Intergenerational Allocation of Natural Resources', Scandinavian Journal of Economics: Growth and Distribution: Intergenerational Problems, 88 (1), March, 141-49 -- 11. John Pezzey (1992), 'Sustainability: An Interdisciplinary Guide', Environmental Values, 1 (4), Winter, 321-62 -- 12. Partha Dasgupta and Karl-Göran Mäler (2000), 'Net National Product, Wealth, and Social Well-Being', Environment and Development Economics, 5 (1), February, 69-93 -- 13. Kirk Hamilton and John M. Hartwick (2005), 'Investing Exhaustible Resource Rents and the Path of Consumption', Canadian Journal of Economics, 38 (2), May, 615-21 -- 14. Kirk Hamilton and Cees Withagen (2007), 'Savings Growth and the Path of Utility', Canadian Journal of Economics, 40 (2), May, 703-13 -- 15. Martin L. Weitzman (1976), 'On the Welfare Significance of National Product in a Dynamic Economy', Quarterly Journal of Economics, 90 (1), February, 156-62 -- 16. John M. Hartwick (1990), 'Natural Resources, National Accounting and Economic Depreciation', Journal of Public Economics, 43 (3), December, 291-304 -- 17. David W. Pearce and Giles D. Atkinson (1993), 'Capital Theory and the Measurement of Sustainable Development: An Indicator of "Weak" Sustainability', Ecological Economics, 8 (2), October, 103-8 -- 18. Kirk Hamilton and Michael Clemens (1999), 'Genuine Savings Rates in Developing Countries', World Bank Economic Review, 13 (2), May, 333-56 -- 19. Kenneth J. Arrow, Partha Dasgupta, Lawrence H. Goulder, Kevin J. Mumford and Kirsten Oleson (2012), 'Sustainability and the Measurement of Wealth', Environment and Development Economics, 17 (3), June, 317-53 39. Christa N. Brunnschweiler and Erwin H. Bulte (2008), 'The Resource Curse Revisited and Revised: A Tale of Paradoxes and Red Herrings', Journal of Environmental Economics and Management, 55 (3), May, 248-64 -- 40. David I. Stern (2004), 'The Rise and Fall of the Environmental Kuznets Curve', World Development, 32 (8), August, 1419-39 -- 41. Joan Martínez-Alier, Unai Pascual, Franck-Dominique Vivien and Edwin Zaccai (2010), 'Sustainable De-Growth: Mapping the Context, Criticisms and Future Prospects of an Emergent Paradigm', Ecological Economics, 69 (9), July, 1741-47 -- 42. Alex Bowen and Samuel Fankhauser (2011), 'The Green Growth Narrative: Paradigm Shift or Just Spin?', Global Environmental Change, 21 (4), October, 1157-59 -- 43. Michael E. Porter and Claas van der Linde (1995), 'Toward a New Conception of the Environment-Competitiveness Relationship', Journal of Economic Perspectives, 9 (4), Fall, 97-118 20. Elena G. Irwin, Sathya Gopalakrishnan and Alan Randall (2016), 'Welfare, Wealth, and Sustainability', Annual Review of Resource Economics, 8, October, 77-98 -- 21. Brian Walker, Leonie Pearson, Michael Harris, Karl-Göran Mäler, Chuan-Zhong Li, Reinette Biggs and Tim Baynes (2010), 'Incorporating Resilience in the Assessment of Inclusive Wealth: An Example from South East Australia', Environmental and Resource Economics, 45 (2), February, 183-202 -- 22. James Boyd and Spencer Banzhaf (2007), 'What Are Ecosystem Services? The Need for Standardized Environmental Accounting Units', Ecological Economics, 63 (2-3), August, 616-26 -- 23. Ian J. Bateman, Georgina M. Mace, Carlo Fezzi, Giles Atkinson and Kerry Turner (2011), 'Economic Analysis for Ecosystem Service Assessments', Environmental and Resource Economics, 48 (2), February, 177-218 -- 24. Brendan Fisher, R. Kerry Turner and Paul Morling (2009), 'Defining and Classifying Ecosystem Services for Decision Making', Ecological Economics, 68 (3), January, 643-53 -- 25. Eli P. Fenichel and Joshua K. Abbott (2014), 'Natural Capital: From Metaphor to Measurement', Journal of the Association of Environmental and Resource Economists, 1 (1-2), Spring-Summer, 1-27 -- 26. Mathis Wackernagel, Larry Onisto, Patricia Bello, Alejandro Callejas Linares, Ina Susana López Falfán, Jesus Méndez García, Ana Isabel Suárez Guerrero and Ma. Guadalupe Suárez Guerrero (1999), 'National Natural Capital Accounting with the Ecological Footprint Concept', Ecological Economics, 29 (3), June, 375-90 -- 27. E. B. Barbier, A. Markandya and D. W. Pearce (1990), 'Environmental Sustainability and Cost-Benefit Analysis', Environment and Planning A, 22 (9), September, 1259-66 -- 28. Giles Atkinson and Susana Mourato (2008), 'Environmental Cost-Benefit Analysis', Annual Review of Environment and Resources, 33, November, 317-44 -- 29. Richard T. Carson (2012), 'Contingent Valuation: A Practical Alternative when Prices Aren't Available', Journal of Economic Perspectives, 26 (4), Fall, 27-42 -- 30. Anil Markandya and David W. Pearce (1991), 'Development, the Environment, and the Social Rate of Discount', World Bank Research Observer, 6 (2), July, 137-52 -- 31. Partha Dasgupta (2008), 'Discounting Climate Change', Journal of Risk and Uncertainty, 37 (2-3), December, 141-69 -- 32. Nicholas Stern (2014), 'Ethics, Equity and the Economics of Climate Change - Paper 2: Economics and Politics', Economics and Philosophy, 30 (3), November, 445-501 -- 33. Robert S. Pindyck (2007), 'Uncertainty in Environmental Economics', Review of Environmental Economics and Policy, 1 (1), Winter, 45-65 -- 34. Martin L. Weitzman (2009), 'On Modeling and Interpreting the Economics of Catastrophic Climate Change', Review of Economics and Statistics, XCI (1), February, 1-19 -- 35. Geoffrey Heal and Antony Millner (2014), 'Reflections: Uncertainty and Decision Making in Climate Change Economics', Review of Environmental Economics and Policy, 8 (1), Winter, 120-37 -- 36. John Luke Gallup, Jeffrey D. Sachs and Andrew D. Mellinger (1999), 'Geography and Economic Development', International Regional Science Review, 22 (2), August, 179-223, 225-232 -- 37. Melissa Dell, Benjamin F. Jones and Benjamin A. Olken (2012), 'Temperature Shocks and Economic Growth: Evidence from the Last Half Century', American Economic Journal: Macroeconomics, 4 (3), July, 66-95 -- 38. Jeffrey D. Sachs and Andrew M. Warner (2001), 'The Curse of Natural Resources', European Economic Review, 45 (4-6), May, 827-38 The unprecedented advances in economic development witnessed over the past decades cannot continue if economic progress comes at the expense of the natural environment. The Sustainable Development Goals, agreed globally in 2015, define a vision of human development where economic, social and environmental domains interact to shape the prospects for future prosperity. This timely literature review highlights the contribution of economics to the study of sustainable development. It discusses some of the most influential articles on the topic by economists over the past fifty years. Environmental sustainability, an inherently interdisciplinary topic, is analysed from the perspectives of applied microeconomics, environmental and resource economics, ecological economics, development economics and public economics. Written by two subject experts, this research review is indispensable for anyone interested or working in the field
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A177388980X.jsonld | RF/Microwave Hybrids : Basics, Materials and Processes | In 1991 this author published a monograph[l] based on his experience teaching microwave hybrid materials and processing technology at the annual ISHM (now the International Microelectronics and Packaging Society, IMAPS) symposia. Since that time, the course has been presented at that venue and on-site at a number of industrial and government organizations. The course has been continually revised to reflect the many evolutionary changes in materials and processes. Microwave technology has existed for almost 175 years. It was only after the invention of the klystron, just before World War II, that microwave design and manufacture moved from a few visionaries to the growth the industry sees today. Over the last decade alone there have been exploding applications for all types of high frequency electronics in the miltary, automotive, wireless, computer, telecommunications and medical industries. These have placed demands, unimaginable a decade ago, on designs, materials, processes and equipment to meet the ever expanding requirements for increasingly reliable, smaller, faster and lower cost circuits. Hybrids vs. Mimics -- Basic Concepts -- Planar Waveguides -- Current Flow and Loss Considerations -- Substrates -- Thick Film -- Thin Film -- Dielectric Deposition -- Polymers -- Processing Strategies -- Photolithigraphy -- Electroplating -- Etching -- Components -- Packaging -- Superconductivity -- Microelectromechnicalsystems-MEMS. | [
"['elt']",
"['phy']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: RF/Microwave Hybrids : Basics, Materials and Processes
- Document Abstract: In 1991 this author published a monograph[l] based on his experience teaching microwave hybrid materials and processing technology at the annual ISHM (now the International Microelectronics and Packaging Society, IMAPS) symposia. Since that time, the course has been presented at that venue and on-site at a number of industrial and government organizations. The course has been continually revised to reflect the many evolutionary changes in materials and processes. Microwave technology has existed for almost 175 years. It was only after the invention of the klystron, just before World War II, that microwave design and manufacture moved from a few visionaries to the growth the industry sees today. Over the last decade alone there have been exploding applications for all types of high frequency electronics in the miltary, automotive, wireless, computer, telecommunications and medical industries. These have placed demands, unimaginable a decade ago, on designs, materials, processes and equipment to meet the ever expanding requirements for increasingly reliable, smaller, faster and lower cost circuits. Hybrids vs. Mimics -- Basic Concepts -- Planar Waveguides -- Current Flow and Loss Considerations -- Substrates -- Thick Film -- Thin Film -- Dielectric Deposition -- Polymers -- Processing Strategies -- Photolithigraphy -- Electroplating -- Etching -- Components -- Packaging -- Superconductivity -- Microelectromechnicalsystems-MEMS.
- Document LIN Search class: ['elt'], ['phy']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1023447487.jsonld | The rise of transnational corporations from emerging markets : threat or opportunity? | pt. 1. Overview -- pt. 2. Exploring the growth and pattern of outward FDI from developing countries -- pt. 3. What's in it for host countries? -- pt. 4. What's in it for home countries and the international community? -- pt. 5. Conclusion This insightful book shows that foreign direct investment (FDI) from emerging markets has grown from negligible amounts in the early 1980s to $210 billion in 2007, with the stock of investment now being well over $1 trillion. This reflects the rise of firms from these economies to become important players in the world FDI market. The contributors to this book comprehensively analyze the rise of emerging market TNCs, the salient features of the transnational activities of these firms, the relationship of outward FDI and the competitiveness of the firms involved, their impact on host and home countries and implications for the international law and policy system | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The rise of transnational corporations from emerging markets : threat or opportunity?
- Document Abstract: pt. 1. Overview -- pt. 2. Exploring the growth and pattern of outward FDI from developing countries -- pt. 3. What's in it for host countries? -- pt. 4. What's in it for home countries and the international community? -- pt. 5. Conclusion This insightful book shows that foreign direct investment (FDI) from emerging markets has grown from negligible amounts in the early 1980s to $210 billion in 2007, with the stock of investment now being well over $1 trillion. This reflects the rise of firms from these economies to become important players in the world FDI market. The contributors to this book comprehensively analyze the rise of emerging market TNCs, the salient features of the transnational activities of these firms, the relationship of outward FDI and the competitiveness of the firms involved, their impact on host and home countries and implications for the international law and policy system
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1651397295.jsonld | New Essays on Leibniz Reception : In Science and Philosophy of Science 1800-2000 | Introduction Ralf Krömer and Yannick Chin-Drian -- The idea of number from Gauss to Cantor. The Leibnizian heritage and its surpassing Philippe Séguin -- The Reception of Leibniz’s Logic in 19th Century German Philosophy Volker Peckhaus -- Leibniz’s Metaphysics as an Epistemological Obstacle to the Mathematization of Nature: the View of a Late 19th Century Neo-Kantian, Kurd Lasswitz Françoise Willmann -- Peano and his School between Leibniz and Couturat: the influence in mathematics and in international language Erika Luciano -- Couturat’s reception of Leibniz Anne-Françoise Schmid -- Russell and Leibniz on the classification of propositions Nicholas Griffin -- Cassirer, Reader, Publisher, and Interpreter of Leibniz’s Philosophy Jean Seidengart -- Leibniz on Relativity. The Debate between Hans Reichenbach and Dietrich Mahnke on Leibniz’s Theory of Motion and Time Vincenzo De Risi -- Interpretations of Leibniz’s Mathesis universalis at the beginning of the XXth Century David Rabouin -- Leibnizian traces in H.Weyl’s Philosophie der Mathematik und Naturwissenschaft Erhard Scholz -- Gödel, Leibniz and “Russell’s mathematical logic” Gabriella Crocco -- Chaitin, Leibniz and complexity Herbert Breger -- Abbreviations. Index. This book is a collection of essays on the reception of Leibniz’s thinking in the sciences and in the philosophy of science in the 19th and 20th centuries. Authors studied include C.F. Gauss, Georg Cantor, Kurd Lasswitz, Bertrand Russell, Ernst Cassirer, Louis Couturat, Hans Reichenbach, Hermann Weyl, Kurt Gödel and Gregory Chaitin. In addition, we consider concepts and problems central to Leibniz’s thought and that of the later authors: the continuum, space, identity, number, the infinite and the infinitely small, the projects of a universal language, a calculus of logic, a mathesis universalis etc. The book brings together two fields of research in the history of philosophy and of science (research on Leibniz, and the research concerned with some major developments in the 19th and 20th centuries); it describes how Leibniz’s thought appears in the works of these authors, in order to better understand Leibniz’s influence on contemporary science and philosophy; but it also assesses that reception critically, confronting it in particular with the current state of Leibniz research and with the various editions of his work. | [
"['phi']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: New Essays on Leibniz Reception : In Science and Philosophy of Science 1800-2000
- Document Abstract: Introduction Ralf Krömer and Yannick Chin-Drian -- The idea of number from Gauss to Cantor. The Leibnizian heritage and its surpassing Philippe Séguin -- The Reception of Leibniz’s Logic in 19th Century German Philosophy Volker Peckhaus -- Leibniz’s Metaphysics as an Epistemological Obstacle to the Mathematization of Nature: the View of a Late 19th Century Neo-Kantian, Kurd Lasswitz Françoise Willmann -- Peano and his School between Leibniz and Couturat: the influence in mathematics and in international language Erika Luciano -- Couturat’s reception of Leibniz Anne-Françoise Schmid -- Russell and Leibniz on the classification of propositions Nicholas Griffin -- Cassirer, Reader, Publisher, and Interpreter of Leibniz’s Philosophy Jean Seidengart -- Leibniz on Relativity. The Debate between Hans Reichenbach and Dietrich Mahnke on Leibniz’s Theory of Motion and Time Vincenzo De Risi -- Interpretations of Leibniz’s Mathesis universalis at the beginning of the XXth Century David Rabouin -- Leibnizian traces in H.Weyl’s Philosophie der Mathematik und Naturwissenschaft Erhard Scholz -- Gödel, Leibniz and “Russell’s mathematical logic” Gabriella Crocco -- Chaitin, Leibniz and complexity Herbert Breger -- Abbreviations. Index. This book is a collection of essays on the reception of Leibniz’s thinking in the sciences and in the philosophy of science in the 19th and 20th centuries. Authors studied include C.F. Gauss, Georg Cantor, Kurd Lasswitz, Bertrand Russell, Ernst Cassirer, Louis Couturat, Hans Reichenbach, Hermann Weyl, Kurt Gödel and Gregory Chaitin. In addition, we consider concepts and problems central to Leibniz’s thought and that of the later authors: the continuum, space, identity, number, the infinite and the infinitely small, the projects of a universal language, a calculus of logic, a mathesis universalis etc. The book brings together two fields of research in the history of philosophy and of science (research on Leibniz, and the research concerned with some major developments in the 19th and 20th centuries); it describes how Leibniz’s thought appears in the works of these authors, in order to better understand Leibniz’s influence on contemporary science and philosophy; but it also assesses that reception critically, confronting it in particular with the current state of Leibniz research and with the various editions of his work.
- Document LIN Search class: ['phi']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A896106101.jsonld | The origin of others | America’s foremost novelist reflects on the themes that preoccupy her work and increasingly dominate national and world politics: race, fear, borders, the mass movement of peoples, the desire for belonging. What is race and why does it matter? What motivates the human tendency to construct Others? Why does the presence of Others make us so afraid? Drawing on her Norton Lectures, Toni Morrison takes up these and other vital questions bearing on identity in The Origin of Others. In her search for answers, the novelist considers her own memories as well as history, politics, and especially literature. Harriet Beecher Stowe, Ernest Hemingway, William Faulkner, Flannery O’Connor, and Camara Laye are among the authors she examines. Readers of Morrison’s fiction will welcome her discussions of some of her most celebrated books―Beloved, Paradise, and A Mercy. | [
"['lit']",
"['sow']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The origin of others
- Document Abstract: America’s foremost novelist reflects on the themes that preoccupy her work and increasingly dominate national and world politics: race, fear, borders, the mass movement of peoples, the desire for belonging. What is race and why does it matter? What motivates the human tendency to construct Others? Why does the presence of Others make us so afraid? Drawing on her Norton Lectures, Toni Morrison takes up these and other vital questions bearing on identity in The Origin of Others. In her search for answers, the novelist considers her own memories as well as history, politics, and especially literature. Harriet Beecher Stowe, Ernest Hemingway, William Faulkner, Flannery O’Connor, and Camara Laye are among the authors she examines. Readers of Morrison’s fiction will welcome her discussions of some of her most celebrated books―Beloved, Paradise, and A Mercy.
- Document LIN Search class: ['lit'], ['sow']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1028038488.jsonld | Consumer Psychology : A Life Span Developmental Approach | Chapter 1: Definitions and visions of consumption -- Chapter 2: Concepts and themes -- Chapter 3: How consumers’ minds work: An introduction to the basics -- Chapter 4: How we process information: A look at embodied cognition and priming -- Chapter 5: One mind or two? An introduction to dual process theories -- Chapter 6: Development through the lifespan: Is it a viable approach? -- Chapter 7: Erikson’s stages of life: Can we bridge the gap? -- Chapter 8: Childhood and younger children: The gaze from developmental psychology -- Chapter 9: The older child: Becoming a serious consumer -- Chapter 10: Children, ownership and possessions: The origins -- Chapter 11: Ownership and possessions: The adult perspective and into the future -- Chapter 12: And now the end is near… This book approaches consumer psychology from a unique perspective - it covers the entire lifespan, from birth to old age. Childhood and youth are not discussed as areas special, different and remote from the rest of consumer research but are integrated into our development as humans. Consumption is viewed as a process by groups and individuals with the cycle continuing through to disposal or ownership and possession. The author discusses how people’s natural lifespan influences their relationship to the things they own, how preferences are developed from childhood and how motivations for purchases change throughout their lives from childhood to old age. This book brings together the most recent findings and theories on child and youth consumption, including children’s understanding of advertising and marketing, teen and youth identities and their consumption tastes. Moving through Erikson’s life stages chapters continue on to adulthood, the mid-life ‘crisis’ and possessions and ownership in older consumers. This is a deeply interdisciplinary work that will be of interest to scholars across the fields of psychology, business and marketing, as well as to the more general consumer | [
"['sow']",
"['oek']",
"['pae']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Consumer Psychology : A Life Span Developmental Approach
- Document Abstract: Chapter 1: Definitions and visions of consumption -- Chapter 2: Concepts and themes -- Chapter 3: How consumers’ minds work: An introduction to the basics -- Chapter 4: How we process information: A look at embodied cognition and priming -- Chapter 5: One mind or two? An introduction to dual process theories -- Chapter 6: Development through the lifespan: Is it a viable approach? -- Chapter 7: Erikson’s stages of life: Can we bridge the gap? -- Chapter 8: Childhood and younger children: The gaze from developmental psychology -- Chapter 9: The older child: Becoming a serious consumer -- Chapter 10: Children, ownership and possessions: The origins -- Chapter 11: Ownership and possessions: The adult perspective and into the future -- Chapter 12: And now the end is near… This book approaches consumer psychology from a unique perspective - it covers the entire lifespan, from birth to old age. Childhood and youth are not discussed as areas special, different and remote from the rest of consumer research but are integrated into our development as humans. Consumption is viewed as a process by groups and individuals with the cycle continuing through to disposal or ownership and possession. The author discusses how people’s natural lifespan influences their relationship to the things they own, how preferences are developed from childhood and how motivations for purchases change throughout their lives from childhood to old age. This book brings together the most recent findings and theories on child and youth consumption, including children’s understanding of advertising and marketing, teen and youth identities and their consumption tastes. Moving through Erikson’s life stages chapters continue on to adulthood, the mid-life ‘crisis’ and possessions and ownership in older consumers. This is a deeply interdisciplinary work that will be of interest to scholars across the fields of psychology, business and marketing, as well as to the more general consumer
- Document LIN Search class: ['sow'], ['oek'], ['pae']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A689653069.jsonld | Textual choices in discourse : a view from cognitive linguistics | In recent years, research in cognitive linguistics has expanded its interests to cover a variety of texts – spoken, written, or multimodal. Analytical tools such as conceptual metaphor, frame semantics, mental spaces and grammatical constructions have been productively applied in various discourse contexts. In this volume, originally published as a special issue of English Text Construction 3:2 (2010), the contributors, a mix of established and emerging authors in the field, analyse broadcast and print journalism, argumentative scientific discourse, radio lectures on music, and the main literary genres (the poetry of Szymborska and bpNichol, the drama of Shakespeare, the modernist prose of Virginia Woolf and recent fiction by John Banville). Collectively the findings suggest a need to broaden and refine the cognitive linguistic repertoire, while also uncovering new ways to interpret textual data. The book will appeal to researchers and graduate students with interests in cognitive poetics and linguistics, stylistics, pragmatics and construction grammar. | [
"['lin']",
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Textual choices in discourse : a view from cognitive linguistics
- Document Abstract: In recent years, research in cognitive linguistics has expanded its interests to cover a variety of texts – spoken, written, or multimodal. Analytical tools such as conceptual metaphor, frame semantics, mental spaces and grammatical constructions have been productively applied in various discourse contexts. In this volume, originally published as a special issue of English Text Construction 3:2 (2010), the contributors, a mix of established and emerging authors in the field, analyse broadcast and print journalism, argumentative scientific discourse, radio lectures on music, and the main literary genres (the poetry of Szymborska and bpNichol, the drama of Shakespeare, the modernist prose of Virginia Woolf and recent fiction by John Banville). Collectively the findings suggest a need to broaden and refine the cognitive linguistic repertoire, while also uncovering new ways to interpret textual data. The book will appeal to researchers and graduate students with interests in cognitive poetics and linguistics, stylistics, pragmatics and construction grammar.
- Document LIN Search class: ['lin'], ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1010021974.jsonld | Uncle Tom's cabins : the transnational history of America's most mutable book | "As Harriet Beecher Stowe's novel Uncle Tom's Cabin traveled around the world, it was molded by the imaginations and needs of international audiences. For over 150 years it has been coopted for a dazzling array of causes far from what its author envisioned. This book tells thirteen variants of Uncle Tom's journey, explicating the novel's significance for Canadian abolitionists and the Liberian political elite that constituted the runaway characters' landing points; nineteenth-century French theatergoers; liberal Cuban, Romanian, and Spanish intellectuals and social reformers; Dutch colonizers and Filipino nationalists in Southeast Asia; Eastern European Cold War communists; Muslim readers and spectators in the Middle East; Brazilian television audiences; and twentieth-century German holidaymakers. Throughout these encounters, Stowe's story of American slavery serves as a paradigm for understanding oppression, selectively and strategically refracting the African American slave onto other iconic victims and freedom fighters. The book brings together performance historians, literary critics, and media theorists to demonstrate how the myriad cultural and political effects of Stowe's enduring story has transformed it into a global metanarrative with national, regional, and local specificity"-- | [
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Uncle Tom's cabins : the transnational history of America's most mutable book
- Document Abstract: "As Harriet Beecher Stowe's novel Uncle Tom's Cabin traveled around the world, it was molded by the imaginations and needs of international audiences. For over 150 years it has been coopted for a dazzling array of causes far from what its author envisioned. This book tells thirteen variants of Uncle Tom's journey, explicating the novel's significance for Canadian abolitionists and the Liberian political elite that constituted the runaway characters' landing points; nineteenth-century French theatergoers; liberal Cuban, Romanian, and Spanish intellectuals and social reformers; Dutch colonizers and Filipino nationalists in Southeast Asia; Eastern European Cold War communists; Muslim readers and spectators in the Middle East; Brazilian television audiences; and twentieth-century German holidaymakers. Throughout these encounters, Stowe's story of American slavery serves as a paradigm for understanding oppression, selectively and strategically refracting the African American slave onto other iconic victims and freedom fighters. The book brings together performance historians, literary critics, and media theorists to demonstrate how the myriad cultural and political effects of Stowe's enduring story has transformed it into a global metanarrative with national, regional, and local specificity"--
- Document LIN Search class: ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A187944187X.jsonld | The Elgar companion to radical political economy | This major reference book has been designed to provide a comprehensive coverage of radical political economy. International in scope, The Elgar Companion to Radical Political Economy includes contributions from a very wide range of specialists who discuss topics, ideas and theories in the field. Radical political economy is a term used to encompass a range of different schools of thought. These include post Keynesian, Kaleckian, Marxian, Institutionalist, Sraffian and other approaches to economics which share the common theme of production, rather than the exchange focus of neoclassical and Austrian economics. Their concern with the generation and use of the surplus leads them to an interest in dynamics, income distribution, growth and development, and capital accumulation. With over 100 entries, the companion provides detailed information on a wide range of aspects of radical political economy as well as some important insights into its theoretical underpinning. A special feature of the book is its emphasis upon explaining the positive elements in radical political economy. As the first book of its kind devoted to radical political economy, the companion will be an essential reference source for scholars and students with an interest in the development of economic ideas | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The Elgar companion to radical political economy
- Document Abstract: This major reference book has been designed to provide a comprehensive coverage of radical political economy. International in scope, The Elgar Companion to Radical Political Economy includes contributions from a very wide range of specialists who discuss topics, ideas and theories in the field. Radical political economy is a term used to encompass a range of different schools of thought. These include post Keynesian, Kaleckian, Marxian, Institutionalist, Sraffian and other approaches to economics which share the common theme of production, rather than the exchange focus of neoclassical and Austrian economics. Their concern with the generation and use of the surplus leads them to an interest in dynamics, income distribution, growth and development, and capital accumulation. With over 100 entries, the companion provides detailed information on a wide range of aspects of radical political economy as well as some important insights into its theoretical underpinning. A special feature of the book is its emphasis upon explaining the positive elements in radical political economy. As the first book of its kind devoted to radical political economy, the companion will be an essential reference source for scholars and students with an interest in the development of economic ideas
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1758681861.jsonld | Mathematical models in science | "Mathematical Models in Science treats General Relativity and Quantum Mechanics in a non-commutative Algebraic Geometric framework. Based on ideas first published in Geometry of Time-Spaces: Non-commutative Algebraic Geometry Applied to Quantum Theory (World Scientific, 2011), Olav Arnfinn Laudal proposes a Toy Model as a Theory of Everything, starting with the notion of the Big Bang in Cosmology, modelled as the non-commutative deformation of a thick point. From this point, the author shows how to extract reasonable models for both General Relativity and Quantum Theory. This book concludes that the universe turns out to be the 6-dimensional Hilbert scheme of pairs of points in affine 3-space. With this in place, one may develop within the model much of the physics known to the reader. In particular, this theory is applicable to the concept of Dark Matter and its effects on our visual universe. Hence, Mathematical Models in Science proves the dependency of deformation theory in Mathematical Physics and summarises the development of physical applications of pure mathematics developed in the twentieth century"-- | [
"['mat']",
"['phy']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Mathematical models in science
- Document Abstract: "Mathematical Models in Science treats General Relativity and Quantum Mechanics in a non-commutative Algebraic Geometric framework. Based on ideas first published in Geometry of Time-Spaces: Non-commutative Algebraic Geometry Applied to Quantum Theory (World Scientific, 2011), Olav Arnfinn Laudal proposes a Toy Model as a Theory of Everything, starting with the notion of the Big Bang in Cosmology, modelled as the non-commutative deformation of a thick point. From this point, the author shows how to extract reasonable models for both General Relativity and Quantum Theory. This book concludes that the universe turns out to be the 6-dimensional Hilbert scheme of pairs of points in affine 3-space. With this in place, one may develop within the model much of the physics known to the reader. In particular, this theory is applicable to the concept of Dark Matter and its effects on our visual universe. Hence, Mathematical Models in Science proves the dependency of deformation theory in Mathematical Physics and summarises the development of physical applications of pure mathematics developed in the twentieth century"--
- Document LIN Search class: ['mat'], ['phy']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A739078828.jsonld | The migration industry and the commercialization of international migration | Migration has become business, big business. Over the last few decades a host of new business opportunities have emerged that capitalize both on the migrants' desires to migrate and the struggle by governments to manage migration. From the rapid growth of specialized transportation and labour immigration companies, to multinational companies managing detention centres or establishing border security, to the organized criminal networks profiting from human smuggling and trafficking, we are currently witnessing a growing commercialization of international migration.This volume claims that today | [
"['sow']",
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The migration industry and the commercialization of international migration
- Document Abstract: Migration has become business, big business. Over the last few decades a host of new business opportunities have emerged that capitalize both on the migrants' desires to migrate and the struggle by governments to manage migration. From the rapid growth of specialized transportation and labour immigration companies, to multinational companies managing detention centres or establishing border security, to the organized criminal networks profiting from human smuggling and trafficking, we are currently witnessing a growing commercialization of international migration.This volume claims that today
- Document LIN Search class: ['sow'], ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A670561681.jsonld | Developer's guide to Microsoft Enterprise Library : solutions for Enterprise development | "The book walks you through functional blocks of the Enterprise Library which include data access, caching, cryptography, exception handling, logging, security, and validation." -- Foreword | [
"['inf']",
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Developer's guide to Microsoft Enterprise Library : solutions for Enterprise development
- Document Abstract: "The book walks you through functional blocks of the Enterprise Library which include data access, caching, cryptography, exception handling, logging, security, and validation." -- Foreword
- Document LIN Search class: ['inf'], ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A66966488X.jsonld | Problems and answers in wave optics | Looking for a deeper understanding of electromagnetic wave propagation? Need a resource of practice problems to hone your skills? With 272 selected problems and answers, this study aid is a powerful supplement to the study of wave optics. Covering the basics of wave propagation, reflection, refraction, anisotropic media, interference, diffraction, and coherence, this question-and-answer collection provides the opportunity to solve problems chosen by a mentor with decades of experience instructing students | [
"['phy']",
"['elt']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Problems and answers in wave optics
- Document Abstract: Looking for a deeper understanding of electromagnetic wave propagation? Need a resource of practice problems to hone your skills? With 272 selected problems and answers, this study aid is a powerful supplement to the study of wave optics. Covering the basics of wave propagation, reflection, refraction, anisotropic media, interference, diffraction, and coherence, this question-and-answer collection provides the opportunity to solve problems chosen by a mentor with decades of experience instructing students
- Document LIN Search class: ['phy'], ['elt']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A739980696.jsonld | The Light Pavilion by Lebbeus Woods and Christoph a. Kumpusch for the sliced porosity block in Chengdu, China 2007-2012 | The first built project and final creative work of artist and architect Lebbeus Woods (1940-2012), the Light Pavilion is transcendent architecture, a project that exemplifies the preoccupations of a consummate draftsman, thinker and educator. Nestled within a mixed-use complex in Chengdu, China, this daring construction is an emancipated drawing, a light and shadow machine, a chromatic calendar, a fugue of steel, a dance of space and form. The pavilion's dynamic geometry, perspective and sequence of spaces reframe perceptions of architecture and urbanism. Filled with drawings, detail specifications, and construction documentation, this book also features breathtaking photography by Iwan Baan; commentary by Zaha Hadid, Steven Holl, Thom Mayne, Neil Denari, and Eric Owen Moss; historical analysis by Mark Morris; and an epilog by project collaborator Christoph a. Kumpusch | [
"['rest']",
"['bau']",
"['elt']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The Light Pavilion by Lebbeus Woods and Christoph a. Kumpusch for the sliced porosity block in Chengdu, China 2007-2012
- Document Abstract: The first built project and final creative work of artist and architect Lebbeus Woods (1940-2012), the Light Pavilion is transcendent architecture, a project that exemplifies the preoccupations of a consummate draftsman, thinker and educator. Nestled within a mixed-use complex in Chengdu, China, this daring construction is an emancipated drawing, a light and shadow machine, a chromatic calendar, a fugue of steel, a dance of space and form. The pavilion's dynamic geometry, perspective and sequence of spaces reframe perceptions of architecture and urbanism. Filled with drawings, detail specifications, and construction documentation, this book also features breathtaking photography by Iwan Baan; commentary by Zaha Hadid, Steven Holl, Thom Mayne, Neil Denari, and Eric Owen Moss; historical analysis by Mark Morris; and an epilog by project collaborator Christoph a. Kumpusch
- Document LIN Search class: ['rest'], ['bau'], ['elt']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1775561216.jsonld | A history of Chilean literature | This book covers the full range and diversity of Chilean literature from the times of the Spanish conquest to the present. By emphasizing transnational, hemispheric, and global approaches to Chilean literature, it reflects the relevance of themes such as neoliberalism, migration and exile, as well as subfields like ethnic studies, and gender and sexuality studies. It showcases the diversity of Chilean literature throughout all periods, regions, ethnocultural groups and social classes, all the while foregrounding its regional variations. Unlike previous literary histories, it maps a rich heterogeneity by including works by Chileans of indigenous, African, Jewish, Arab, Asian, and Croatian ancestries, as well as studies of literature by LGTBQ authors and Chilean Americans. Ambitious and authoritative, this book is essential reading for scholars of Chilean Literature, Latin American Literature, the Global South, and World Literature. | [
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: A history of Chilean literature
- Document Abstract: This book covers the full range and diversity of Chilean literature from the times of the Spanish conquest to the present. By emphasizing transnational, hemispheric, and global approaches to Chilean literature, it reflects the relevance of themes such as neoliberalism, migration and exile, as well as subfields like ethnic studies, and gender and sexuality studies. It showcases the diversity of Chilean literature throughout all periods, regions, ethnocultural groups and social classes, all the while foregrounding its regional variations. Unlike previous literary histories, it maps a rich heterogeneity by including works by Chileans of indigenous, African, Jewish, Arab, Asian, and Croatian ancestries, as well as studies of literature by LGTBQ authors and Chilean Americans. Ambitious and authoritative, this book is essential reading for scholars of Chilean Literature, Latin American Literature, the Global South, and World Literature.
- Document LIN Search class: ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1745081208.jsonld | Caribbean literature in transition, 1920-1970 | The years between the 1920s and 1970s are key for the development of Caribbean literature, producing the founding canonical literary texts of the Anglophone Caribbean. This volume features essays by major scholars as well as emerging voices revisiting important moments from that era to open up new perspectives. Caribbean contributions to the Harlem Renaissance, to the Windrush generation publishing in England after World War II, and to the regional reverberations of the Cuban Revolution all feature prominently in this story. At the same time, we uncover lesser known stories of writers publishing in regional newspapers and journals, of pioneering women writers, and of exchanges with Canada and the African continent. From major writers like Derek Walcott, V.S. Naipaul, George Lamming, and Jean Rhys to recently recuperated figures like Eric Walrond, Una Marson, Sylvia Wynter, and Ismith Khan, this volume sets a course for the future study of Caribbean literature. | [
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Caribbean literature in transition, 1920-1970
- Document Abstract: The years between the 1920s and 1970s are key for the development of Caribbean literature, producing the founding canonical literary texts of the Anglophone Caribbean. This volume features essays by major scholars as well as emerging voices revisiting important moments from that era to open up new perspectives. Caribbean contributions to the Harlem Renaissance, to the Windrush generation publishing in England after World War II, and to the regional reverberations of the Cuban Revolution all feature prominently in this story. At the same time, we uncover lesser known stories of writers publishing in regional newspapers and journals, of pioneering women writers, and of exchanges with Canada and the African continent. From major writers like Derek Walcott, V.S. Naipaul, George Lamming, and Jean Rhys to recently recuperated figures like Eric Walrond, Una Marson, Sylvia Wynter, and Ismith Khan, this volume sets a course for the future study of Caribbean literature.
- Document LIN Search class: ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1023446987.jsonld | The rise of Asia : the 'flying-geese' theory of tandem growth and regional agglomeration | Terutomo Ozawa introduces a newly reformulated theory of 'flying-geese' economic development, exploring Asia's dynamic growth and financial development. This unique book shows how the flying-geese theory can be expanded and applied to both the real- and the financial-sector structural transformation of regionally clustered economies pt. 1. Agenda -- pt. 2. Real-sector growth : industrial upgrading -- pt. 3. Money / finance dimension | [
"['oek']",
"['geo']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The rise of Asia : the 'flying-geese' theory of tandem growth and regional agglomeration
- Document Abstract: Terutomo Ozawa introduces a newly reformulated theory of 'flying-geese' economic development, exploring Asia's dynamic growth and financial development. This unique book shows how the flying-geese theory can be expanded and applied to both the real- and the financial-sector structural transformation of regionally clustered economies pt. 1. Agenda -- pt. 2. Real-sector growth : industrial upgrading -- pt. 3. Money / finance dimension
- Document LIN Search class: ['oek'], ['geo']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A091576342.jsonld | Business ethics : concepts & cases | Ethics and business -- Ethical principles in business -- The market and business -- The business system: government markets and international trade -- Ethics in the marketplace -- Business and its external exchanges: ecology and consumers -- Ethics in the environment -- The ethics of consumer production and marketing -- Business and its internal constituencies -- The ethics of job discrimination -- The individual in the organization. | [
"['oek']",
"['phi']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Business ethics : concepts & cases
- Document Abstract: Ethics and business -- Ethical principles in business -- The market and business -- The business system: government markets and international trade -- Ethics in the marketplace -- Business and its external exchanges: ecology and consumers -- Ethics in the environment -- The ethics of consumer production and marketing -- Business and its internal constituencies -- The ethics of job discrimination -- The individual in the organization.
- Document LIN Search class: ['oek'], ['phi']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1762827670.jsonld | South-South solidarity and the Latin American left | Introduction: how we think about solidarity -- South-South solidarity and the revolutionary Latin American state -- Rendering solidarity: tricontinentalist culture at the United Nations -- "Nuestros Palestinos!" and representational solidarity in the Southern Cone -- Latin American liberation theology in southern Africa -- Conclusion: South-South solidarity and history at a crossroads. | [
"['sow']",
"['his']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: South-South solidarity and the Latin American left
- Document Abstract: Introduction: how we think about solidarity -- South-South solidarity and the revolutionary Latin American state -- Rendering solidarity: tricontinentalist culture at the United Nations -- "Nuestros Palestinos!" and representational solidarity in the Southern Cone -- Latin American liberation theology in southern Africa -- Conclusion: South-South solidarity and history at a crossroads.
- Document LIN Search class: ['sow'], ['his']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A723693676.jsonld | A System of Health Accounts : 2011 Edition | A System of Health Accounts 2011 provides a systematic description of the financial flows related to the consumption of health care goods and services. As demands for information increase and more countries implement and institutionalise health accounts according to the system, the data produced are expected to be more comparable, more detailed and more policy relevant. This new edition builds on the original OECD Manual, published in 2000, and the Guide to Producing National Health Accounts to create a single global framework for producing health expenditure accounts that can help track resource flows from sources to uses. The Manual is the result of a four-year collaborative effort between the OECD, WHO and the European Commission, and sets out in more detail the boundaries, the definitions and the concepts – responding to health care systems around the globe – from the simplest to the more complicated. | [
"['meda']",
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: A System of Health Accounts : 2011 Edition
- Document Abstract: A System of Health Accounts 2011 provides a systematic description of the financial flows related to the consumption of health care goods and services. As demands for information increase and more countries implement and institutionalise health accounts according to the system, the data produced are expected to be more comparable, more detailed and more policy relevant. This new edition builds on the original OECD Manual, published in 2000, and the Guide to Producing National Health Accounts to create a single global framework for producing health expenditure accounts that can help track resource flows from sources to uses. The Manual is the result of a four-year collaborative effort between the OECD, WHO and the European Commission, and sets out in more detail the boundaries, the definitions and the concepts – responding to health care systems around the globe – from the simplest to the more complicated.
- Document LIN Search class: ['meda'], ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1800903790.jsonld | Particles in German, English, and beyond | "Germanic languages have been recognized as having not only intensifying or focus particles, but also so-called modal particles. The relevant items are specialized discourse markers joined by characteristic syntactic properties. After an introductory overview of the complex field, the contributions of the current volume capitalize on, but also work much further beyond the baseline of the established insights. They offer analyses of (a) new data types within and sometimes across several Germanic languages (e.g. varieties/stages of German, Dutch, or Norwegian), encompassing different classes of particles and a variety of syntactic-semantic as well as usage-based aspects; (b) the classical dichotomy between languages like German and English when it comes to the availability of modal particles both synchronically and diachronically; (c) crucial integrated insight from non-Germanic languages such as French, Hungarian, Italian, Mandarin, or Vietnamese. A number of mostly interface-based proposals of several languages as well as further generalizations are put on the table for both expert and novice readers in the field"-- | [
"['lin']",
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Particles in German, English, and beyond
- Document Abstract: "Germanic languages have been recognized as having not only intensifying or focus particles, but also so-called modal particles. The relevant items are specialized discourse markers joined by characteristic syntactic properties. After an introductory overview of the complex field, the contributions of the current volume capitalize on, but also work much further beyond the baseline of the established insights. They offer analyses of (a) new data types within and sometimes across several Germanic languages (e.g. varieties/stages of German, Dutch, or Norwegian), encompassing different classes of particles and a variety of syntactic-semantic as well as usage-based aspects; (b) the classical dichotomy between languages like German and English when it comes to the availability of modal particles both synchronically and diachronically; (c) crucial integrated insight from non-Germanic languages such as French, Hungarian, Italian, Mandarin, or Vietnamese. A number of mostly interface-based proposals of several languages as well as further generalizations are put on the table for both expert and novice readers in the field"--
- Document LIN Search class: ['lin'], ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1653901489.jsonld | Essentials of Measure Theory | Preface -- Part I. Introduction to Measure and Integration.-1. Measurable Functions -- 2. Measure on a σ-Algebra -- 3. Integral of Nonnegative Functions -- 4. Integral of Real-Valued Functions -- 5. Banach Spaces Lp -- 6. Convergence of Functions -- 7. Decomposition of Measures -- 8. Extension of Measures -- 9. Product Measures -- Part II -- 10. Remarks on Integrals -- 11. Borel Measure -- 12. Representation Theorems -- 13. Invariant Measures -- References -- Index Classical in its approach, this textbook is thoughtfully designed and composed in two parts. Part I is meant for a one-semester beginning graduate course in measure theory, proposing an “abstract” approach to measure and integration, where the classical concrete cases of Lebesgue measure and Lebesgue integral are presented as an important particular case of general theory. Part II of the text is more advanced and is addressed to a more experienced reader. The material is designed to cover another one-semester graduate course subsequent to a first course, dealing with measure and integration in topological spaces. The final section of each chapter in Part I presents problems that are integral to each chapter, the majority of which consist of auxiliary results, extensions of the theory, examples, and counterexamples. Problems which are highly theoretical have accompanying hints. The last section of each chapter of Part II consists of Additional Propositions containing auxiliary and complementary results. The entire book contains collections of suggested readings at the end of each chapter in order to highlight alternate approaches, proofs, and routes toward additional results. With modest prerequisites, this text is intended to meet the needs of a contemporary course in measure theory for mathematics students and is also accessible to a wider student audience, namely those in statistics, economics, engineering, and physics. Part I may be also accessible to advanced undergraduates who fulfill the prerequisites which include an introductory course in analysis, linear algebra (Chapter 5 only), and elementary set theory | [
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Essentials of Measure Theory
- Document Abstract: Preface -- Part I. Introduction to Measure and Integration.-1. Measurable Functions -- 2. Measure on a σ-Algebra -- 3. Integral of Nonnegative Functions -- 4. Integral of Real-Valued Functions -- 5. Banach Spaces Lp -- 6. Convergence of Functions -- 7. Decomposition of Measures -- 8. Extension of Measures -- 9. Product Measures -- Part II -- 10. Remarks on Integrals -- 11. Borel Measure -- 12. Representation Theorems -- 13. Invariant Measures -- References -- Index Classical in its approach, this textbook is thoughtfully designed and composed in two parts. Part I is meant for a one-semester beginning graduate course in measure theory, proposing an “abstract” approach to measure and integration, where the classical concrete cases of Lebesgue measure and Lebesgue integral are presented as an important particular case of general theory. Part II of the text is more advanced and is addressed to a more experienced reader. The material is designed to cover another one-semester graduate course subsequent to a first course, dealing with measure and integration in topological spaces. The final section of each chapter in Part I presents problems that are integral to each chapter, the majority of which consist of auxiliary results, extensions of the theory, examples, and counterexamples. Problems which are highly theoretical have accompanying hints. The last section of each chapter of Part II consists of Additional Propositions containing auxiliary and complementary results. The entire book contains collections of suggested readings at the end of each chapter in order to highlight alternate approaches, proofs, and routes toward additional results. With modest prerequisites, this text is intended to meet the needs of a contemporary course in measure theory for mathematics students and is also accessible to a wider student audience, namely those in statistics, economics, engineering, and physics. Part I may be also accessible to advanced undergraduates who fulfill the prerequisites which include an introductory course in analysis, linear algebra (Chapter 5 only), and elementary set theory
- Document LIN Search class: ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1763809625.jsonld | Renewable energy for mitigating climate change | "Based on state-of-the-art science and technologies, this book disseminates the latest progress concerning the marriage between renewable energy and climate change, and examines the best practices to further utilize renewable energy for mitigation. It examines climate change from different renewable energy fronts by the respective experts from around the world. While high-level and in-depth technological advancements are judiciously presented, it also discusses the various forms of renewable energy and the associated technologies in consideration of the various perspectives of economy, availability, and societal implications in different regions"-- | [
"['mas']",
"['cet']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Renewable energy for mitigating climate change
- Document Abstract: "Based on state-of-the-art science and technologies, this book disseminates the latest progress concerning the marriage between renewable energy and climate change, and examines the best practices to further utilize renewable energy for mitigation. It examines climate change from different renewable energy fronts by the respective experts from around the world. While high-level and in-depth technological advancements are judiciously presented, it also discusses the various forms of renewable energy and the associated technologies in consideration of the various perspectives of economy, availability, and societal implications in different regions"--
- Document LIN Search class: ['mas'], ['cet']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1029802815.jsonld | Athenian democracy at war | Classical Athens perfected direct democracy. The plays of this ancient Greek state are still staged today. These achievements are rightly revered. Less well known is the other side of this success story. Democratic Athens completely transformed warfare and became a superpower. The Athenian armed forces were unmatched in size and professionalism. This book explores the major reasons behind this military success. It shows how democracy helped the Athenians to be better soldiers. For the first time David M. Pritchard studies, together, all four branches of the armed forces. He focuses on the background of those who fought Athens's wars and on what they thought about doing so. His book reveals the common practices that Athens used right across the armed forces and shows how Athens's pro-war culture had a big impact on civilian life. The book puts the study of Athenian democracy at war on an entirely new footing | [
"['his']",
"['sow']",
"['tec']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Athenian democracy at war
- Document Abstract: Classical Athens perfected direct democracy. The plays of this ancient Greek state are still staged today. These achievements are rightly revered. Less well known is the other side of this success story. Democratic Athens completely transformed warfare and became a superpower. The Athenian armed forces were unmatched in size and professionalism. This book explores the major reasons behind this military success. It shows how democracy helped the Athenians to be better soldiers. For the first time David M. Pritchard studies, together, all four branches of the armed forces. He focuses on the background of those who fought Athens's wars and on what they thought about doing so. His book reveals the common practices that Athens used right across the armed forces and shows how Athens's pro-war culture had a big impact on civilian life. The book puts the study of Athenian democracy at war on an entirely new footing
- Document LIN Search class: ['his'], ['sow'], ['tec']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A086451723.jsonld | Understanding truth | Foundational issues -- Truth bearers -- Forms of truth skepticism -- Two theories of truth -- Tarski's definition of truth -- The significance of Tarski's theory of truth -- Lessons of the liar -- Truth, paradox, and partially defined predicates -- Extensions -- Vagueness, partiality, and the sorites paradox -- What is truth?: the deflationary perspective | [
"['phi']",
"['sow']",
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Understanding truth
- Document Abstract: Foundational issues -- Truth bearers -- Forms of truth skepticism -- Two theories of truth -- Tarski's definition of truth -- The significance of Tarski's theory of truth -- Lessons of the liar -- Truth, paradox, and partially defined predicates -- Extensions -- Vagueness, partiality, and the sorites paradox -- What is truth?: the deflationary perspective
- Document LIN Search class: ['phi'], ['sow'], ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A786023457.jsonld | Cults and rites in Ancient Greece : essays on religion and society | "This volume assembles fourteen highly influential articles written by Michael H. Jameson over a period of nearly fifty years, edited and updated by the author himself. They represent both the scope and the signature style of Jameson's engagement with the subject of ancient Greek religion. The collection complements the original publications in two ways: firstly, it makes the articles more accessible; and secondly, the volume offers readers a unique opportunity to observe that over almost five decades of scholarship Jameson developed a distinctive method, a signature style, a particular perspective, a way of looking that could perhaps be fittingly called a 'Jamesonian approach' to the study of Greek religion. This approach, recognizable in each article individually, becomes unmistakable through the concentration of papers collected here. The particulars of the Jamesonian approach are insightfully discussed in the five introductory essays written for this volume by leading world authorities on polis religion"-- | [
"['rel']",
"['his']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Cults and rites in Ancient Greece : essays on religion and society
- Document Abstract: "This volume assembles fourteen highly influential articles written by Michael H. Jameson over a period of nearly fifty years, edited and updated by the author himself. They represent both the scope and the signature style of Jameson's engagement with the subject of ancient Greek religion. The collection complements the original publications in two ways: firstly, it makes the articles more accessible; and secondly, the volume offers readers a unique opportunity to observe that over almost five decades of scholarship Jameson developed a distinctive method, a signature style, a particular perspective, a way of looking that could perhaps be fittingly called a 'Jamesonian approach' to the study of Greek religion. This approach, recognizable in each article individually, becomes unmistakable through the concentration of papers collected here. The particulars of the Jamesonian approach are insightfully discussed in the five introductory essays written for this volume by leading world authorities on polis religion"--
- Document LIN Search class: ['rel'], ['his']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A58105105X.jsonld | Negotiating spaces : the new exhibition building of the Museum of Contemporary Art in Leipzig by as-if berlinwien | Focuseses on the uses of the second building for the Gallery of Contemporary Art in Leipzig and the dialogues between the architecture and the processes that occur within and around it. This work presents the artistic and curatorial exhibition concepts realised in the GfZK-2 alongside essays examining the concepts of the architectural space | [
"['pae']",
"['bau']",
"['rest']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Negotiating spaces : the new exhibition building of the Museum of Contemporary Art in Leipzig by as-if berlinwien
- Document Abstract: Focuseses on the uses of the second building for the Gallery of Contemporary Art in Leipzig and the dialogues between the architecture and the processes that occur within and around it. This work presents the artistic and curatorial exhibition concepts realised in the GfZK-2 alongside essays examining the concepts of the architectural space
- Document LIN Search class: ['pae'], ['bau'], ['rest']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1670375781.jsonld | War games : memory, militarism, and the subject of play | "Many of today's most commercially successful videogames, from Call of Duty to Company of Heroes, are war-themed titles that play out in what are framed as authentic real-world settings inspired by recent news headlines or drawn from history. While such games are marketed as authentic representations of war, they often provide a selective form of realism that eschews problematic, yet salient aspects of war. In addition, changes in the way Western states wage and frame actual wars makes contemporary conflicts increasingly resemble videogames when perceived from the vantage point of Western audiences. This interdisciplinary volume brings together scholars from games studies, media and cultural studies, politics and international relations, and related fields to examine the complex relationships between military-themed videogames and real-world conflict, and to consider how videogames might deal with history, memory, and conflict in alternative ways. It asks: What is the role of videogames in the formation and negotiation of cultural memory of past wars? How do game narratives and designs position the gaming subject in relation to history, war and militarism? And how far do critical, anti-war/peace games offer an alternative or challenge to mainstream commercial titles?"-- Introduction: Studying war and games / Philip Hammond and Holger Pötzsch -- Reality check : videogames as propaganda for inauthentic war / Philip Hammond -- Playing in the end times : wargames, resilience and the art of failure / Kevin McSorley -- The political economy of wargames : the production of history and memory in military video games / Emil Lundedal Hammar and Jamie Woodcock -- Understanding war game experiences : applying multiple player perspectives to game analysis / Kristine Jørgensen -- Playing the historical fantastic : zombies, mecha-Nazis and making meaning about the past through metaphor / Adam Chapman -- Machine(s) of narrative security : mnemonic hegemony and Polish games about violent conflicts / Piotr Sterczewski -- National memories and the First World War : the many sides of Battlefield 1 / Chris Kempshall -- Let's play war : cultural memory, celebrities and appropriations of the past / Stephanie de Smale -- The wargame legacy : how wargames shaped the roleplaying experience from tabletop to digital games / Dimitra Nikolaidou -- Critical war game development : lessons learned from Attentat 1942 / Vít Šisler -- Simulating war dynamics : a case study of the game-based learning exercise Mission Z: One Last Chance / Joakim Arnøy -- Positioning players as political subjects : forms of estrangement and the presentation of war in This war of mine and Spec ops: The Line / Holger Pötzsch -- Afterword: War/game / Matthew Thomas Payne. | [
"['inf']",
"['sow']",
"['tec']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: War games : memory, militarism, and the subject of play
- Document Abstract: "Many of today's most commercially successful videogames, from Call of Duty to Company of Heroes, are war-themed titles that play out in what are framed as authentic real-world settings inspired by recent news headlines or drawn from history. While such games are marketed as authentic representations of war, they often provide a selective form of realism that eschews problematic, yet salient aspects of war. In addition, changes in the way Western states wage and frame actual wars makes contemporary conflicts increasingly resemble videogames when perceived from the vantage point of Western audiences. This interdisciplinary volume brings together scholars from games studies, media and cultural studies, politics and international relations, and related fields to examine the complex relationships between military-themed videogames and real-world conflict, and to consider how videogames might deal with history, memory, and conflict in alternative ways. It asks: What is the role of videogames in the formation and negotiation of cultural memory of past wars? How do game narratives and designs position the gaming subject in relation to history, war and militarism? And how far do critical, anti-war/peace games offer an alternative or challenge to mainstream commercial titles?"-- Introduction: Studying war and games / Philip Hammond and Holger Pötzsch -- Reality check : videogames as propaganda for inauthentic war / Philip Hammond -- Playing in the end times : wargames, resilience and the art of failure / Kevin McSorley -- The political economy of wargames : the production of history and memory in military video games / Emil Lundedal Hammar and Jamie Woodcock -- Understanding war game experiences : applying multiple player perspectives to game analysis / Kristine Jørgensen -- Playing the historical fantastic : zombies, mecha-Nazis and making meaning about the past through metaphor / Adam Chapman -- Machine(s) of narrative security : mnemonic hegemony and Polish games about violent conflicts / Piotr Sterczewski -- National memories and the First World War : the many sides of Battlefield 1 / Chris Kempshall -- Let's play war : cultural memory, celebrities and appropriations of the past / Stephanie de Smale -- The wargame legacy : how wargames shaped the roleplaying experience from tabletop to digital games / Dimitra Nikolaidou -- Critical war game development : lessons learned from Attentat 1942 / Vít Šisler -- Simulating war dynamics : a case study of the game-based learning exercise Mission Z: One Last Chance / Joakim Arnøy -- Positioning players as political subjects : forms of estrangement and the presentation of war in This war of mine and Spec ops: The Line / Holger Pötzsch -- Afterword: War/game / Matthew Thomas Payne.
- Document LIN Search class: ['inf'], ['sow'], ['tec']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A787115010.jsonld | The Cambridge history of gay and lesbian literature | "The Cambridge History of Gay and Lesbian Literature presents a global history of the field and is an unprecedented summation of critical knowledge on gay and lesbian literature that also addresses the impact of gay and lesbian literature on cognate fields such as comparative literature and postcolonial studies. Covering subjects from Sappho and the Greeks to queer modernism, diasporic literatures, and responses to the AIDS crisis, this volume is grounded in current scholarship. It presents new critical approaches to gay and lesbian literature that will serve the needs of students and specialists alike. Written by leading scholars in the field, The Cambridge History of Gay and Lesbian Literature will not only engage readers in contemporary debates but also serve as a definitive reference for gay and lesbian literature for years to come"-- | [
"['lit']",
"['lin']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The Cambridge history of gay and lesbian literature
- Document Abstract: "The Cambridge History of Gay and Lesbian Literature presents a global history of the field and is an unprecedented summation of critical knowledge on gay and lesbian literature that also addresses the impact of gay and lesbian literature on cognate fields such as comparative literature and postcolonial studies. Covering subjects from Sappho and the Greeks to queer modernism, diasporic literatures, and responses to the AIDS crisis, this volume is grounded in current scholarship. It presents new critical approaches to gay and lesbian literature that will serve the needs of students and specialists alike. Written by leading scholars in the field, The Cambridge History of Gay and Lesbian Literature will not only engage readers in contemporary debates but also serve as a definitive reference for gay and lesbian literature for years to come"--
- Document LIN Search class: ['lit'], ['lin']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A086208047.jsonld | A critical companion to Beowulf | Beowulf : a brief summary of the plot -- Foreword : looking back -- Manuscript and text -- Style and structure -- Myth and legend -- Religion and learning -- Heroes and villains -- Words and deeds -- Beowulf : beyond criticism? -- Afterword : looking forward -- The foliation of Beowulf -- Repeated formulas in Beowulf -- A concordance of repeated formulas in Beowulf | [
"['lit']",
"['lin']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: A critical companion to Beowulf
- Document Abstract: Beowulf : a brief summary of the plot -- Foreword : looking back -- Manuscript and text -- Style and structure -- Myth and legend -- Religion and learning -- Heroes and villains -- Words and deeds -- Beowulf : beyond criticism? -- Afterword : looking forward -- The foliation of Beowulf -- Repeated formulas in Beowulf -- A concordance of repeated formulas in Beowulf
- Document LIN Search class: ['lit'], ['lin']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A894934783.jsonld | The new immigrant whiteness : race, neoliberalism, and post-Soviet migration to the United States | Introduction: presumed white: race, gender, and modes of migration in the post-Soviet diaspora -- The post-Soviet diaspora on transnational reality TV -- Highly skilled and marriage migrants in Arizona -- Segmented assimilation and return migration -- The desire for adoptive invisibility -- Fictions of irregular post-Soviet migration -- The post-Soviet diaspora in comparative perspective -- Conclusion: immigrant whiteness today | [
"['sow']",
"['his']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The new immigrant whiteness : race, neoliberalism, and post-Soviet migration to the United States
- Document Abstract: Introduction: presumed white: race, gender, and modes of migration in the post-Soviet diaspora -- The post-Soviet diaspora on transnational reality TV -- Highly skilled and marriage migrants in Arizona -- Segmented assimilation and return migration -- The desire for adoptive invisibility -- Fictions of irregular post-Soviet migration -- The post-Soviet diaspora in comparative perspective -- Conclusion: immigrant whiteness today
- Document LIN Search class: ['sow'], ['his']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1023440008.jsonld | The determinants of Chinese outward direct investment | The rapid international expansion of Chinese enterprises since the 1990s has attracted considerable attention in scholarly and policy circles. This book sheds fresh light on the phenomenon by explaining its determinants using the analytical lens of international business theory. -- The author focuses in particular on how Chinese firms interact with the institutional environment both at home and abroad. Drawing upon evidence and analysis from official statistics, Hinrich Voss concludes that the institutional change and market imperfections in China, combined with host country effects and the mediating role of trans-border social and business networks, are key facilitators of the rise of Chinese multinationals. -- This book provides the most up-to-date analysis of the determinants of Chinese outward foreign direct investments, and will appeal to academics with an interest in international business and management, as well as those researching China specifically and Asian business more broadly. Postgraduate students in international business, Asian business studies and international relations will find this book invaluable, as will practitioners dealing with Chinese multinational enterprises. | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The determinants of Chinese outward direct investment
- Document Abstract: The rapid international expansion of Chinese enterprises since the 1990s has attracted considerable attention in scholarly and policy circles. This book sheds fresh light on the phenomenon by explaining its determinants using the analytical lens of international business theory. -- The author focuses in particular on how Chinese firms interact with the institutional environment both at home and abroad. Drawing upon evidence and analysis from official statistics, Hinrich Voss concludes that the institutional change and market imperfections in China, combined with host country effects and the mediating role of trans-border social and business networks, are key facilitators of the rise of Chinese multinationals. -- This book provides the most up-to-date analysis of the determinants of Chinese outward foreign direct investments, and will appeal to academics with an interest in international business and management, as well as those researching China specifically and Asian business more broadly. Postgraduate students in international business, Asian business studies and international relations will find this book invaluable, as will practitioners dealing with Chinese multinational enterprises.
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1728469058.jsonld | Brain and Human Body Modeling 2020 : Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting | This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techniques available to assess a given technology’s safety and efficacy in a timely and efficient manner. Describes computational human body phantom construction and application; Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations; Includes a survey of modern applications for which computational human phantoms are critical. Introduction -- Tumor Treating Fields Dosimetry and Treatment Planning -- A Theory of Mechanisms Underlying 200 kHz AC Electric Fields Effects on Tumor Cell Structures -- A thermal study of Tumor Treating Fields for glioblastoma therapy -- Improving Tumor Treating Fields with Skull Remodeling Surgery. Surgery Planning and Treatment Evaluation with Finite Element Methods -- A Computational FEM Parcelled-Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation -- Computer Model of Electroconvulsive Therapy with Tractography Analysis -- Personalization of multi-electrode setups in tCS: methods and advantages -- Solving High-Resolution Forward Problems for Extra- and Intracranial Neurophysiological Recordings Using Boundary Element Fast Multipole Method -- Modeling Primary Fields of TMS Coils with the Fast Multipole Method -- Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models -- A miniaturized ultra-focal magnetic stimulator and its preliminary application to the peripheral nervous system -- Modelling studies of non-invasive electric and magnetic stimulation of the spinal cord -- Simplifying the Numerical Human Model with k-means Clustering Method -- Using Anatomical Human Body Model for FEM SAR Simulation of a 3T MRI System -- RF-Induced Unintended Stimulation for Implantable Medical Devices in MRI. | [
"['meda']",
"['med']",
"['mat']",
"['phy']",
"['elt']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Brain and Human Body Modeling 2020 : Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting
- Document Abstract: This open access book describes modern applications of computational human modeling in an effort to advance neurology, cancer treatment, and radio-frequency studies including regulatory, safety, and wireless communication fields. Readers working on any application that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest models and techniques available to assess a given technology’s safety and efficacy in a timely and efficient manner. Describes computational human body phantom construction and application; Explains new practices in computational human body modeling for electromagnetic safety and exposure evaluations; Includes a survey of modern applications for which computational human phantoms are critical. Introduction -- Tumor Treating Fields Dosimetry and Treatment Planning -- A Theory of Mechanisms Underlying 200 kHz AC Electric Fields Effects on Tumor Cell Structures -- A thermal study of Tumor Treating Fields for glioblastoma therapy -- Improving Tumor Treating Fields with Skull Remodeling Surgery. Surgery Planning and Treatment Evaluation with Finite Element Methods -- A Computational FEM Parcelled-Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation -- Computer Model of Electroconvulsive Therapy with Tractography Analysis -- Personalization of multi-electrode setups in tCS: methods and advantages -- Solving High-Resolution Forward Problems for Extra- and Intracranial Neurophysiological Recordings Using Boundary Element Fast Multipole Method -- Modeling Primary Fields of TMS Coils with the Fast Multipole Method -- Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models -- A miniaturized ultra-focal magnetic stimulator and its preliminary application to the peripheral nervous system -- Modelling studies of non-invasive electric and magnetic stimulation of the spinal cord -- Simplifying the Numerical Human Model with k-means Clustering Method -- Using Anatomical Human Body Model for FEM SAR Simulation of a 3T MRI System -- RF-Induced Unintended Stimulation for Implantable Medical Devices in MRI.
- Document LIN Search class: ['meda'], ['med'], ['mat'], ['phy'], ['elt']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1655389017.jsonld | European strategies in lifelong learning : a critical introduction | Lifelong learning and education is a key concept for the development of adult education as an area of practice and theoretical consideration. In recent decades, meanwhile, the idea of lifelong education and learning has been central to the guidance of various international organisations of many countries. Das erklärte Ziel des Buches, Studierende an kritische Auseinandersetzungen mit Bildungspolitik heranzufuhren, wird gut umgesetzt. Das Buch überzeugt durch einen klaren Aufbau und eine Fokussierung auf zentrale Inhalte [...].Zudem liefern Lima und Guimaraes etwas, das von Studierenden in der Regel geschätzt wird: Siebeziehen Positionen, die Ansatzpunkte für Auseinandersetzungen liefern. Insofern ist das Buch als Studienlektüre empfehlenswert. Katrin Kraus, In: Report 2/2012 Das Buch von Lima und Guimaraes ist ein zutiefst politisches Bekenntnis zu einer Bildung, die im Interesse von Humanität, Demokratie und Emanzipation gerade in heutiger Zeit ihren Wert hat. Es ist lesenswert, weil es diese Position - und das ist der Funktion als Studientext geschuldet - vom Grundsatz ausgehend entfaltet. Ekkehard Nuissl, In: Report 2/2012 Das Buch von Lima und Guimaraes ist ein Beispiel gelungener europäischer Erwachsenbildungswissenschaft. Arthur Schneeberger, In: Report 2/2012 | [
"['pae']",
"['sow']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: European strategies in lifelong learning : a critical introduction
- Document Abstract: Lifelong learning and education is a key concept for the development of adult education as an area of practice and theoretical consideration. In recent decades, meanwhile, the idea of lifelong education and learning has been central to the guidance of various international organisations of many countries. Das erklärte Ziel des Buches, Studierende an kritische Auseinandersetzungen mit Bildungspolitik heranzufuhren, wird gut umgesetzt. Das Buch überzeugt durch einen klaren Aufbau und eine Fokussierung auf zentrale Inhalte [...].Zudem liefern Lima und Guimaraes etwas, das von Studierenden in der Regel geschätzt wird: Siebeziehen Positionen, die Ansatzpunkte für Auseinandersetzungen liefern. Insofern ist das Buch als Studienlektüre empfehlenswert. Katrin Kraus, In: Report 2/2012 Das Buch von Lima und Guimaraes ist ein zutiefst politisches Bekenntnis zu einer Bildung, die im Interesse von Humanität, Demokratie und Emanzipation gerade in heutiger Zeit ihren Wert hat. Es ist lesenswert, weil es diese Position - und das ist der Funktion als Studientext geschuldet - vom Grundsatz ausgehend entfaltet. Ekkehard Nuissl, In: Report 2/2012 Das Buch von Lima und Guimaraes ist ein Beispiel gelungener europäischer Erwachsenbildungswissenschaft. Arthur Schneeberger, In: Report 2/2012
- Document LIN Search class: ['pae'], ['sow']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1651541027.jsonld | Semiconductor Modeling Techniques | This book describes the key theoretical techniques needed to quantitatively calculate and simulate the properties of semiconductor materials. Covers such techniques as 2D heterostructures, quantum wires, quantum dots and nitrogen containing III-V alloys This book describes the key theoretical techniques for semiconductor research to quantitatively calculate and simulate the properties. It presents particular techniques to study novel semiconductor materials, such as 2D heterostructures, quantum wires, quantum dots and nitrogen containing III-V alloys. The book is aimed primarily at newcomers working in the field of semiconductor physics to give guidance in theory and experiment. The theoretical techniques for electronic and optoelectronic devices are explained in detail. | [
"['phy']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Semiconductor Modeling Techniques
- Document Abstract: This book describes the key theoretical techniques needed to quantitatively calculate and simulate the properties of semiconductor materials. Covers such techniques as 2D heterostructures, quantum wires, quantum dots and nitrogen containing III-V alloys This book describes the key theoretical techniques for semiconductor research to quantitatively calculate and simulate the properties. It presents particular techniques to study novel semiconductor materials, such as 2D heterostructures, quantum wires, quantum dots and nitrogen containing III-V alloys. The book is aimed primarily at newcomers working in the field of semiconductor physics to give guidance in theory and experiment. The theoretical techniques for electronic and optoelectronic devices are explained in detail.
- Document LIN Search class: ['phy']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1671452852.jsonld | Essays on Plato's epistemology | Introduction -- Thought as inner dialogue (Theaet : 189e4-19oa6) -- Logos and doxa : the meaning of the refutation of the third definition of Epistêmê in the theaetetus -- Theaetetus 20od-201c : truth without certainty -- Foundationalism or coherentism? On the third definition of Epistêmê in the theaetetus -- What is the meaning of Plato's Theaetetus? Some remarks on a new annotated translation of the dialogue -- David Sedley's Theaetetus -- The "Virtuous circle" of language : on the meaning of Plato's Cratylus -- The knowledge of the philosopher -- What role do the mathematical sciences play in the metaphor of the line? -- Socrates' Error in the parmenides -- On the distinguishing features of Plato's "Metaphysics" (Starting from the parmenides) -- Is there such a thing as a "Platonic theory of the ideas" According to Aristotle? -- The unity of virtue, self-predication and the "Third man" in protagoras 329e-332a -- Plato : philosophy, politics and knowledge : an overview -- Bibliography -- Index. | [
"['phi']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Essays on Plato's epistemology
- Document Abstract: Introduction -- Thought as inner dialogue (Theaet : 189e4-19oa6) -- Logos and doxa : the meaning of the refutation of the third definition of Epistêmê in the theaetetus -- Theaetetus 20od-201c : truth without certainty -- Foundationalism or coherentism? On the third definition of Epistêmê in the theaetetus -- What is the meaning of Plato's Theaetetus? Some remarks on a new annotated translation of the dialogue -- David Sedley's Theaetetus -- The "Virtuous circle" of language : on the meaning of Plato's Cratylus -- The knowledge of the philosopher -- What role do the mathematical sciences play in the metaphor of the line? -- Socrates' Error in the parmenides -- On the distinguishing features of Plato's "Metaphysics" (Starting from the parmenides) -- Is there such a thing as a "Platonic theory of the ideas" According to Aristotle? -- The unity of virtue, self-predication and the "Third man" in protagoras 329e-332a -- Plato : philosophy, politics and knowledge : an overview -- Bibliography -- Index.
- Document LIN Search class: ['phi']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A751038172.jsonld | Optical thin films and coatings : from materials to applications | Optical coatings, including mirrors, anti-reflection coatings, beam splitters, and filters, are an integral part of most modern optical systems. This book provides an overview of thin film materials, the properties, design and manufacture of optical coatings and their use across a variety of application areas Part I. Design and manufacturing of optical thin films and coatings -- part II. Unconventional features of optical thin films and coatings -- part III. Novel materials for optical thin films and coatings -- part IV. Applications of optical thin films and coatings | [
"['phy']",
"['mas']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Optical thin films and coatings : from materials to applications
- Document Abstract: Optical coatings, including mirrors, anti-reflection coatings, beam splitters, and filters, are an integral part of most modern optical systems. This book provides an overview of thin film materials, the properties, design and manufacture of optical coatings and their use across a variety of application areas Part I. Design and manufacturing of optical thin films and coatings -- part II. Unconventional features of optical thin films and coatings -- part III. Novel materials for optical thin films and coatings -- part IV. Applications of optical thin films and coatings
- Document LIN Search class: ['phy'], ['mas']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1657486788.jsonld | Reforming the Financial Sector in Central European Countries | The analysis in this book reflects various aspects of financial sector transformation in selected Central European countries that are expected to join the EU in 2004. The authors are Central European financial experts who provide, among other things, a detailed overview of the following main topics: Banking Regulation and Supervision; Concentration and Efficiency of the Banking Sectors; Financial (banking) crises in selected Central European countries; and Monetary and Exchange Rate Development. The results of the research done by these authors reflect an interesting fact: that there exist important differences in the financial sector development even in the relatively homogeneous group of selected Central European countries, namely the Czech Republic, Poland, Slovakia and Hungary | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Reforming the Financial Sector in Central European Countries
- Document Abstract: The analysis in this book reflects various aspects of financial sector transformation in selected Central European countries that are expected to join the EU in 2004. The authors are Central European financial experts who provide, among other things, a detailed overview of the following main topics: Banking Regulation and Supervision; Concentration and Efficiency of the Banking Sectors; Financial (banking) crises in selected Central European countries; and Monetary and Exchange Rate Development. The results of the research done by these authors reflect an interesting fact: that there exist important differences in the financial sector development even in the relatively homogeneous group of selected Central European countries, namely the Czech Republic, Poland, Slovakia and Hungary
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1808434994.jsonld | Linear mixed models : a practical guide using statistical software | "Highly recommended by JASA, Technometrics, and other leading statistical journals, the first two editions of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition continues to lead readers step-by-step through the process of fitting LMMs. The third edition provides a comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. All examples have been updated, with a focus on new tools for visualization of results and interpretation. New conceptual and theoretical developments in mixed-effects modeling have been included, and there is a new chapter on power analysis for mixed-effects models. Features: Dedicates an entire chapter to the key theories underlying LMMs for clustered, longitudinal, and repeated measures data Provides descriptions, explanations, and examples of software code necessary to fit LMMs in SAS, SPSS, R, Stata, and HLM Contains detailed tables of estimates and results, allowing for easy comparisons across software procedures Presents step-by-step analyses of real-world data sets that arise from a variety of research settings and study designs, including hypothesis testing, interpretation of results, and model diagnostics Integrates software code in each chapter to compare the relative advantages and disadvantages of each package Supplemented by a website with software code, datasets, additional documents, and updates Ideal for anyone who uses software for statistical modeling, this book eliminates the need to read multiple software-specific texts by covering the most popular software programs for fitting LMMs in one handy guide. The authors illustrate the models and methods through real-world examples that enable comparisons of model-fitting options and results across the software procedures"-- | [
"['mat']",
"['oek']",
"['inf']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Linear mixed models : a practical guide using statistical software
- Document Abstract: "Highly recommended by JASA, Technometrics, and other leading statistical journals, the first two editions of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A Practical Guide Using Statistical Software, Third Edition continues to lead readers step-by-step through the process of fitting LMMs. The third edition provides a comprehensive update of the available tools for fitting linear mixed-effects models in the newest versions of SAS, SPSS, R, Stata, and HLM. All examples have been updated, with a focus on new tools for visualization of results and interpretation. New conceptual and theoretical developments in mixed-effects modeling have been included, and there is a new chapter on power analysis for mixed-effects models. Features: Dedicates an entire chapter to the key theories underlying LMMs for clustered, longitudinal, and repeated measures data Provides descriptions, explanations, and examples of software code necessary to fit LMMs in SAS, SPSS, R, Stata, and HLM Contains detailed tables of estimates and results, allowing for easy comparisons across software procedures Presents step-by-step analyses of real-world data sets that arise from a variety of research settings and study designs, including hypothesis testing, interpretation of results, and model diagnostics Integrates software code in each chapter to compare the relative advantages and disadvantages of each package Supplemented by a website with software code, datasets, additional documents, and updates Ideal for anyone who uses software for statistical modeling, this book eliminates the need to read multiple software-specific texts by covering the most popular software programs for fitting LMMs in one handy guide. The authors illustrate the models and methods through real-world examples that enable comparisons of model-fitting options and results across the software procedures"--
- Document LIN Search class: ['mat'], ['oek'], ['inf']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1668650967.jsonld | Statistics of Financial Markets : an Introduction | Preface to the Fith Edition -- Part I Option Pricing -- Derivatives -- Introduction to Option Management -- Basic Concepts of Probability Theory -- Stochastic Processes in Discrete Time -- Stochastic Integrals and Differential Equations -- Black–Scholes Option Pricing Model -- Binomial Model for European Options -- American Options -- Exotic Options -- Interest Rates and Interest Rate Derivatives -- Part II Statistical Models of Financial Time Series -- Introduction: Definitions and Concepts -- ARIMA Time Series Models -- Time Series with Stochastic Volatility -- Long Memory Time Series -- Non-Parametric and Flexible Time Series Estimators -- Part III Selected Financial Applications -- Value at Risk and Backtesting -- Copulae and Value at Risk -- Statistics of Extreme Risks -- Neural Networks and Deep Learning -- Volatility Risk of Option Portfolios -- Nonparametric Estimators for the Probability of Default -- Credit Risk Management and Credit Derivatives -- Financial econometrics of Crypto-currencies -- A Technical Appendix -- Index -- Symbols and Notations Now in its fifth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods for evaluating option contracts, analyzing financial time series, selecting portfolios and managing risks based on realistic assumptions about market behavior. The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to specific problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic. All numerical calculations are transparent and reproducible using quantlets. For this new edition the book has been updated and extensively revised and now includes several new aspects such as neural networks, deep learning, and crypto-currencies. Both R and Matlab code, together with the data, can be downloaded from the book’s product page and the Quantlet platform. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allow readers to reproduce the tables, pictures and calculations inside this Springer book. “This book provides an excellent introduction to the tools from probability and statistics necessary to analyze financial data. Clearly written and accessible, it will be very useful to students and practitioners alike.” Yacine Ait-Sahalia, Otto Hack 1903 Professor of Finance and Economics, Princeton University | [
"['oek']",
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Statistics of Financial Markets : an Introduction
- Document Abstract: Preface to the Fith Edition -- Part I Option Pricing -- Derivatives -- Introduction to Option Management -- Basic Concepts of Probability Theory -- Stochastic Processes in Discrete Time -- Stochastic Integrals and Differential Equations -- Black–Scholes Option Pricing Model -- Binomial Model for European Options -- American Options -- Exotic Options -- Interest Rates and Interest Rate Derivatives -- Part II Statistical Models of Financial Time Series -- Introduction: Definitions and Concepts -- ARIMA Time Series Models -- Time Series with Stochastic Volatility -- Long Memory Time Series -- Non-Parametric and Flexible Time Series Estimators -- Part III Selected Financial Applications -- Value at Risk and Backtesting -- Copulae and Value at Risk -- Statistics of Extreme Risks -- Neural Networks and Deep Learning -- Volatility Risk of Option Portfolios -- Nonparametric Estimators for the Probability of Default -- Credit Risk Management and Credit Derivatives -- Financial econometrics of Crypto-currencies -- A Technical Appendix -- Index -- Symbols and Notations Now in its fifth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods for evaluating option contracts, analyzing financial time series, selecting portfolios and managing risks based on realistic assumptions about market behavior. The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to specific problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic. All numerical calculations are transparent and reproducible using quantlets. For this new edition the book has been updated and extensively revised and now includes several new aspects such as neural networks, deep learning, and crypto-currencies. Both R and Matlab code, together with the data, can be downloaded from the book’s product page and the Quantlet platform. The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding Data-Driven Documents-based visualization allow readers to reproduce the tables, pictures and calculations inside this Springer book. “This book provides an excellent introduction to the tools from probability and statistics necessary to analyze financial data. Clearly written and accessible, it will be very useful to students and practitioners alike.” Yacine Ait-Sahalia, Otto Hack 1903 Professor of Finance and Economics, Princeton University
- Document LIN Search class: ['oek'], ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A89396140X.jsonld | Model-based systems engineering with OPM and SysML | Model-Based Systems Engineering (MBSE), which tackles architecting and design of complex systems through the use of formal models, is emerging as the most critical component of systems engineering. This textbook specifies the two leading conceptual modeling languages, OPM - the new ISO 19450, composed primarily by the author of this book, and OMG SysML. It provides essential insights into a domain-independent, discipline-crossing methodology of developing or researching complex systems of any conceivable kind and size. Combining theory with a host of industrial, biological, and daily life examples, the book explains principles and provides guidelines for architecting complex, multidisciplinary systems, making it an indispensable resource for systems architects and designers, engineers of any discipline, executives at all levels, project managers, IT professional, systems scientists, and engineering students -- page 4 of cover | [
"['inf']",
"['tec']",
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Model-based systems engineering with OPM and SysML
- Document Abstract: Model-Based Systems Engineering (MBSE), which tackles architecting and design of complex systems through the use of formal models, is emerging as the most critical component of systems engineering. This textbook specifies the two leading conceptual modeling languages, OPM - the new ISO 19450, composed primarily by the author of this book, and OMG SysML. It provides essential insights into a domain-independent, discipline-crossing methodology of developing or researching complex systems of any conceivable kind and size. Combining theory with a host of industrial, biological, and daily life examples, the book explains principles and provides guidelines for architecting complex, multidisciplinary systems, making it an indispensable resource for systems architects and designers, engineers of any discipline, executives at all levels, project managers, IT professional, systems scientists, and engineering students -- page 4 of cover
- Document LIN Search class: ['inf'], ['tec'], ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A643589538.jsonld | Organizational design : a step-by-step approach | "In today's volatile business environment, it is more important than ever that managers, whether of a global multinational or a small team, should understand the fundamentals of organizational design. Written specifically for executives and executive MBA students, the new edition of this successful book provides a step-by-step 'how to' guide for designing an organization. It features comprehensive coverage of the key aspects of organizational design, including goals, strategy, process, people, coordination, control and incentives. These aspects are explained through the use of a unique series of 2 x 2 graphs that provide an integrated, spatial way to assess and plan organizational design. The new edition features a number of important improvements, including a new framework for understanding leadership and organizational climate, the introduction of the concept of manoeuvrability and a completely new chapter examining joint ventures, mergers, partnerships and strategic alliances"--Provided by publisher | [
"['oek']",
"['pae']",
"['tec']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Organizational design : a step-by-step approach
- Document Abstract: "In today's volatile business environment, it is more important than ever that managers, whether of a global multinational or a small team, should understand the fundamentals of organizational design. Written specifically for executives and executive MBA students, the new edition of this successful book provides a step-by-step 'how to' guide for designing an organization. It features comprehensive coverage of the key aspects of organizational design, including goals, strategy, process, people, coordination, control and incentives. These aspects are explained through the use of a unique series of 2 x 2 graphs that provide an integrated, spatial way to assess and plan organizational design. The new edition features a number of important improvements, including a new framework for understanding leadership and organizational climate, the introduction of the concept of manoeuvrability and a completely new chapter examining joint ventures, mergers, partnerships and strategic alliances"--Provided by publisher
- Document LIN Search class: ['oek'], ['pae'], ['tec']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1647892848.jsonld | Radiotherapy for non-malignant disorders | This volume discusses the background and various clinical applications of radiation therapy in the treatment of non-malignant diseases. It documents the radiobiological and physical principles of treatment and the rationale underlying the use of radiotherapy for various disorders of the CNS, head and neck, eye, skin and soft tissues, bone and joints, and vascular system. In so doing, it draws attention to and elucidates the scope for application of radiotherapy beyond the treatment of malignancies. Both the risks and the benefits of such treatment are fully considered, the former ranging from minor clinical problems to life-threatening diseases. | [
"['rest']",
"['meda']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Radiotherapy for non-malignant disorders
- Document Abstract: This volume discusses the background and various clinical applications of radiation therapy in the treatment of non-malignant diseases. It documents the radiobiological and physical principles of treatment and the rationale underlying the use of radiotherapy for various disorders of the CNS, head and neck, eye, skin and soft tissues, bone and joints, and vascular system. In so doing, it draws attention to and elucidates the scope for application of radiotherapy beyond the treatment of malignancies. Both the risks and the benefits of such treatment are fully considered, the former ranging from minor clinical problems to life-threatening diseases.
- Document LIN Search class: ['rest'], ['meda']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1654029521.jsonld | Digital Privacy and Security Using Windows : A Practical Guide | Chapter 1: Introduction and Discussion of the Current Status of Online Privacy -- Chapter 2: Essential Privacy Tips -- Chapter 3: Windows Security -- Chapter 4: Online Anonymity -- Chapter 5: Cryptography and Secure Communication -- Chapter 6: What's Next -- Use this hands-on guide to understand the ever growing and complex world of digital security. Learn how to protect yourself from digital crime, secure your communications, and become anonymous online using sophisticated yet practical tools and techniques. This book teaches you how to secure your online identity and personal devices, encrypt your digital data and online communications, protect cloud data and Internet of Things (IoT), mitigate social engineering attacks, keep your purchases secret, and conceal your digital footprint. You will understand best practices to harden your operating system and delete digital traces using the most widely used operating system, Windows. Digital Privacy and Security Using Windows offers a comprehensive list of practical digital privacy tutorials in addition to being a complete repository of free online resources and tools assembled in one place. The book helps you build a robust defense from electronic crime and corporate surveillance. It covers general principles of digital privacy and how to configure and use various security applications to maintain your privacy, such as TOR, VPN, and BitLocker. You will learn to encrypt email communications using Gpg4win and Thunderbird. What You’ll Learn: Know the various parties interested in having your private data Differentiate between government and corporate surveillance, and the motivations behind each one Understand how online tracking works technically Protect digital data, secure online communications, and become anonymous online Cover and destroy your digital traces using Windows OS Secure your data in transit and at rest Be aware of cyber security risks and countermeasures | [
"['inf']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Digital Privacy and Security Using Windows : A Practical Guide
- Document Abstract: Chapter 1: Introduction and Discussion of the Current Status of Online Privacy -- Chapter 2: Essential Privacy Tips -- Chapter 3: Windows Security -- Chapter 4: Online Anonymity -- Chapter 5: Cryptography and Secure Communication -- Chapter 6: What's Next -- Use this hands-on guide to understand the ever growing and complex world of digital security. Learn how to protect yourself from digital crime, secure your communications, and become anonymous online using sophisticated yet practical tools and techniques. This book teaches you how to secure your online identity and personal devices, encrypt your digital data and online communications, protect cloud data and Internet of Things (IoT), mitigate social engineering attacks, keep your purchases secret, and conceal your digital footprint. You will understand best practices to harden your operating system and delete digital traces using the most widely used operating system, Windows. Digital Privacy and Security Using Windows offers a comprehensive list of practical digital privacy tutorials in addition to being a complete repository of free online resources and tools assembled in one place. The book helps you build a robust defense from electronic crime and corporate surveillance. It covers general principles of digital privacy and how to configure and use various security applications to maintain your privacy, such as TOR, VPN, and BitLocker. You will learn to encrypt email communications using Gpg4win and Thunderbird. What You’ll Learn: Know the various parties interested in having your private data Differentiate between government and corporate surveillance, and the motivations behind each one Understand how online tracking works technically Protect digital data, secure online communications, and become anonymous online Cover and destroy your digital traces using Windows OS Secure your data in transit and at rest Be aware of cyber security risks and countermeasures
- Document LIN Search class: ['inf']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A591963140.jsonld | MySQL administrator's bible : [learn best practices for administering MySQL ; transition from other databases to MySQL ; optimize MySQL queries and schemas] | The book fully covers MySQL 5.1 plus early features of the 6.0 release (as of the time of writing). All of the examples work in both MySQL 5.1 and MySQL 6.0, except where noted. This book is designed for two groups of people. The first group of people is those who have never worked on a database server and want to learn the fundamentals of database management using the world's number one open source database server. The second group of people is those who are currently using another database server and are looking to make a transition to MySQL server. They may be experienced database administration, but are not experienced with MySQL | [
"['inf']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: MySQL administrator's bible : [learn best practices for administering MySQL ; transition from other databases to MySQL ; optimize MySQL queries and schemas]
- Document Abstract: The book fully covers MySQL 5.1 plus early features of the 6.0 release (as of the time of writing). All of the examples work in both MySQL 5.1 and MySQL 6.0, except where noted. This book is designed for two groups of people. The first group of people is those who have never worked on a database server and want to learn the fundamentals of database management using the world's number one open source database server. The second group of people is those who are currently using another database server and are looking to make a transition to MySQL server. They may be experienced database administration, but are not experienced with MySQL
- Document LIN Search class: ['inf']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1023441926.jsonld | The Elgar companion to public choice | This is a comprehensive set of essays on myriad facets of public choice by many of the leading contributors in the field. The coverage is excellent and the essays are terrific. I highly recommend this book for researchers and students. (Todd Sandler, University of Texas at Dallas, US). -- The Elgar Companion to Public Choice, Second Edition brings together leading scholars in the field of political economy to introduce readers to the latest research in public choice. -- The Companion lays out a comprehensive history of the field and, in five additional parts, it explores public choice contributions to the study of the origins of the state, the organization of political activity, the analysis of decision-making in non-market institutions, the examination of tribal governance, and to modeling and predicting the behavior of international organizations and transnational terrorism. -- With broad and up-to-date coverage, this second edition will appeal to politicians and policymakers, academics and researchers in public and social choice and political science as well as graduate students in economics, political science and public administration. | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The Elgar companion to public choice
- Document Abstract: This is a comprehensive set of essays on myriad facets of public choice by many of the leading contributors in the field. The coverage is excellent and the essays are terrific. I highly recommend this book for researchers and students. (Todd Sandler, University of Texas at Dallas, US). -- The Elgar Companion to Public Choice, Second Edition brings together leading scholars in the field of political economy to introduce readers to the latest research in public choice. -- The Companion lays out a comprehensive history of the field and, in five additional parts, it explores public choice contributions to the study of the origins of the state, the organization of political activity, the analysis of decision-making in non-market institutions, the examination of tribal governance, and to modeling and predicting the behavior of international organizations and transnational terrorism. -- With broad and up-to-date coverage, this second edition will appeal to politicians and policymakers, academics and researchers in public and social choice and political science as well as graduate students in economics, political science and public administration.
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A559296347.jsonld | Listening in the language classroom | Listening then and now -- The comprehension approach : pluses and minuses -- Listening and the learner -- Types of listening -- A diagnostic approach to L2 listening -- Dividing listening into its components -- A process approach -- Input and context -- Decoding and the inconsistent signal -- Decoding : sounds, syllables and words -- Using grammar and intonation -- Amplifying what the speaker says -- Handling information -- Real speech -- Listening strategies -- Strategy instruction in second language listening -- Fitting it together | [
"['lin']",
"['pae']",
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Listening in the language classroom
- Document Abstract: Listening then and now -- The comprehension approach : pluses and minuses -- Listening and the learner -- Types of listening -- A diagnostic approach to L2 listening -- Dividing listening into its components -- A process approach -- Input and context -- Decoding and the inconsistent signal -- Decoding : sounds, syllables and words -- Using grammar and intonation -- Amplifying what the speaker says -- Handling information -- Real speech -- Listening strategies -- Strategy instruction in second language listening -- Fitting it together
- Document LIN Search class: ['lin'], ['pae'], ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1604347953.jsonld | Tapworthy : designing great iPhone apps | This guide shows you how to design exceptional user experiences for the iPhone and iPod Touch through practical principles and a rich collection of visual examples | [
"['inf']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Tapworthy : designing great iPhone apps
- Document Abstract: This guide shows you how to design exceptional user experiences for the iPhone and iPod Touch through practical principles and a rich collection of visual examples
- Document LIN Search class: ['inf']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1640745777.jsonld | Hague law interpreted : the conduct of hostilities under the law of armed conflict | Introduction -- An overview of the normative framework of jus in belloul -- Defining an armed conflict -- Identifying situations of hostilities -- The rule of distinction in attack : objects -- The rule of distinction in attack : persons -- The rule of proportionality in attack -- The rule of precautions in attack -- The superfluous injury rule -- Warfare on land -- Aerial warfare -- Naval warfare -- Armed conflict in space -- Cyberwarfare -- Terrorism and the law of armed conflict -- Promoting respect for hague law | [
"['jur']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Hague law interpreted : the conduct of hostilities under the law of armed conflict
- Document Abstract: Introduction -- An overview of the normative framework of jus in belloul -- Defining an armed conflict -- Identifying situations of hostilities -- The rule of distinction in attack : objects -- The rule of distinction in attack : persons -- The rule of proportionality in attack -- The rule of precautions in attack -- The superfluous injury rule -- Warfare on land -- Aerial warfare -- Naval warfare -- Armed conflict in space -- Cyberwarfare -- Terrorism and the law of armed conflict -- Promoting respect for hague law
- Document LIN Search class: ['jur']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1879440547.jsonld | Moving towards the virtual workplace : managerial and societal perspectives on telework | Moving Towards the Virtual Workplace provides the first comprehensive overview of the many impacts of telework/telecommuting adoption, from both a managerial and societal perspective. This book argues that telework will be increasingly adopted in the twenty-first century, representing a far-reaching move toward the virtual workplace, with dramatic implications for the management of the workforce and for society at large. Telework, like mass production, has the potential to change society. It permits the significant reduction of the spatial and temporal constraints faced by the conventional organization of the workplace. The new virtual workplace constitutes a key step in the evolution towards a virtual society. In order to realistically assess telework's diffusion potential, the book studies, both conceptually and empirically, the technological, institutional, organizational and individual-level parameters that influence the decision to adopt telework, and the likelihood of telework's success. The book concludes that telework can have enormous socioeconomic impacts, both as a macro-level tool, reducing road transport externalities, and as a managerial instrument to motivate highly skilled workers in knowledge-based industries. As such this fascinating book will be invaluable to scholars of management, transport, economics and industrial and union relations. The telework and business community, both scholarly and practical will also find the book of great interest | [
"['oek']",
"['tec']",
"['pae']",
"['sow']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Moving towards the virtual workplace : managerial and societal perspectives on telework
- Document Abstract: Moving Towards the Virtual Workplace provides the first comprehensive overview of the many impacts of telework/telecommuting adoption, from both a managerial and societal perspective. This book argues that telework will be increasingly adopted in the twenty-first century, representing a far-reaching move toward the virtual workplace, with dramatic implications for the management of the workforce and for society at large. Telework, like mass production, has the potential to change society. It permits the significant reduction of the spatial and temporal constraints faced by the conventional organization of the workplace. The new virtual workplace constitutes a key step in the evolution towards a virtual society. In order to realistically assess telework's diffusion potential, the book studies, both conceptually and empirically, the technological, institutional, organizational and individual-level parameters that influence the decision to adopt telework, and the likelihood of telework's success. The book concludes that telework can have enormous socioeconomic impacts, both as a macro-level tool, reducing road transport externalities, and as a managerial instrument to motivate highly skilled workers in knowledge-based industries. As such this fascinating book will be invaluable to scholars of management, transport, economics and industrial and union relations. The telework and business community, both scholarly and practical will also find the book of great interest
- Document LIN Search class: ['oek'], ['tec'], ['pae'], ['sow']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1655293958.jsonld | Approximate Identities and Factorization in Banach Modules | Approximate identities in normed algebras -- Factorization in Banach modules -- More about approximate identities. | [
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Approximate Identities and Factorization in Banach Modules
- Document Abstract: Approximate identities in normed algebras -- Factorization in Banach modules -- More about approximate identities.
- Document LIN Search class: ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1697688209.jsonld | Digital Government Review of Sweden : Towards a Data-driven Public Sector | This digital government review asseses the state of data-driven policies and initiatives in the Swedish public sector. It explores the underlying institutional governance and co-ordination arrangements for digital government in the country, and their impact on policy implementation. It also discusses data-sharing and managing initiatives, data governance and open government data practices. The review looks at how Sweden could better share knowledge, promote innovation and improve collaboration both across the public sector and with external stakeholders. Finally, it highlights how the government can use data to build a closer relationship with citizens in order to address policy challenges, improve public service delivery, and, ultimately, strengthen public trust. | [
"['sow']",
"['his']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Digital Government Review of Sweden : Towards a Data-driven Public Sector
- Document Abstract: This digital government review asseses the state of data-driven policies and initiatives in the Swedish public sector. It explores the underlying institutional governance and co-ordination arrangements for digital government in the country, and their impact on policy implementation. It also discusses data-sharing and managing initiatives, data governance and open government data practices. The review looks at how Sweden could better share knowledge, promote innovation and improve collaboration both across the public sector and with external stakeholders. Finally, it highlights how the government can use data to build a closer relationship with citizens in order to address policy challenges, improve public service delivery, and, ultimately, strengthen public trust.
- Document LIN Search class: ['sow'], ['his']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1658713494.jsonld | Driving Performance at Latvia's Public Utilities Commission | Regulators are proactive referees of the sectors they regulate, contributing to the delivery of essential public utilities for citizens. To fulfill this function, they need to be constantly alert, checking sectoral trends as well as assessing the impact of their decisions. However, while measuring regulators’ performance is essential, it is also challenging, from defininig what should be measured to attributing impacts to regulators' decisions. To address these challenges, the OECD has developed an innovative framework that looks at the institutions, processes and practices that help regulators assess their performance. The framework has been applied to Latvia's Public Utilities Commission, which is responsible for regulating energy, communications, water and waste. The review offers unique insights into the work of a multi-sector regulator, identifying the organisational features that allow lessons and experiences to be shared across sectors and contribute to good performance. It highlights the importance of clarifying the role and functions of the regulator and its relationship with other public institutions, setting long-term strategic objectives for the regulator's activities, and having the right regulatory tools with appropriate incentives for the efficient and effective provision of public utility services. | [
"['oek']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Driving Performance at Latvia's Public Utilities Commission
- Document Abstract: Regulators are proactive referees of the sectors they regulate, contributing to the delivery of essential public utilities for citizens. To fulfill this function, they need to be constantly alert, checking sectoral trends as well as assessing the impact of their decisions. However, while measuring regulators’ performance is essential, it is also challenging, from defininig what should be measured to attributing impacts to regulators' decisions. To address these challenges, the OECD has developed an innovative framework that looks at the institutions, processes and practices that help regulators assess their performance. The framework has been applied to Latvia's Public Utilities Commission, which is responsible for regulating energy, communications, water and waste. The review offers unique insights into the work of a multi-sector regulator, identifying the organisational features that allow lessons and experiences to be shared across sectors and contribute to good performance. It highlights the importance of clarifying the role and functions of the regulator and its relationship with other public institutions, setting long-term strategic objectives for the regulator's activities, and having the right regulatory tools with appropriate incentives for the efficient and effective provision of public utility services.
- Document LIN Search class: ['oek']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1879441063.jsonld | Environmental regulation and market power : competition time consistency and international trade | Emissions taxes, tradeable emission permits and voluntary compliance policies are becoming the instruments of choice in controlling environmental problems at the national and international level. Careful design of these policies in second-best environments is a very important factor for their success. This book uses cutting-edge research in order to appraise their efficiency in varying market conditions. This book evaluates the impact that market power could have on the implementation of market-based environmental policies within static, dynamic and open economy frameworks. It explores the potential negative impacts that market-based instruments could have on competitiveness and examines the effects that time inconsistency in the implementation of emission taxes and emission permits could have on environmental innovation. Utilizing open economy frameworks, the contributors also analyse the impact of market imperfections on the structure of environmental polices across countries. They advocate co-operation across countries as a means to maximise the benefits from these policies. Environmental Regulation and Market Power will prove invaluable to scholars and policymakers in the area of environmental studies | [
"['oek']",
"['rest']",
"['cet']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Environmental regulation and market power : competition time consistency and international trade
- Document Abstract: Emissions taxes, tradeable emission permits and voluntary compliance policies are becoming the instruments of choice in controlling environmental problems at the national and international level. Careful design of these policies in second-best environments is a very important factor for their success. This book uses cutting-edge research in order to appraise their efficiency in varying market conditions. This book evaluates the impact that market power could have on the implementation of market-based environmental policies within static, dynamic and open economy frameworks. It explores the potential negative impacts that market-based instruments could have on competitiveness and examines the effects that time inconsistency in the implementation of emission taxes and emission permits could have on environmental innovation. Utilizing open economy frameworks, the contributors also analyse the impact of market imperfections on the structure of environmental polices across countries. They advocate co-operation across countries as a means to maximise the benefits from these policies. Environmental Regulation and Market Power will prove invaluable to scholars and policymakers in the area of environmental studies
- Document LIN Search class: ['oek'], ['rest'], ['cet']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1653742089.jsonld | The Academic Book of the Future | This book is open access under a CC-BY licence. Part of the AHRC/British Library Academic Book of the Future Project, this book interrogates current and emerging contexts of academic books from the perspectives of thirteen expert voices from the connected communities of publishing, academia, libraries, and bookselling | [
"['rest']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: The Academic Book of the Future
- Document Abstract: This book is open access under a CC-BY licence. Part of the AHRC/British Library Academic Book of the Future Project, this book interrogates current and emerging contexts of academic books from the perspectives of thirteen expert voices from the connected communities of publishing, academia, libraries, and bookselling
- Document LIN Search class: ['rest']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A011245298.jsonld | Romanticism | Introduction -- For Lack of a Better Name -- The Morality of Landscape -- Frozen Music -- The Last Enchantments of the Middle Age -- The Sense of the Past -- The Cause of Liberty -- Artist's Life -- The Mysterious Way -- Epilogue | [
"['rest']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Romanticism
- Document Abstract: Introduction -- For Lack of a Better Name -- The Morality of Landscape -- Frozen Music -- The Last Enchantments of the Middle Age -- The Sense of the Past -- The Cause of Liberty -- Artist's Life -- The Mysterious Way -- Epilogue
- Document LIN Search class: ['rest']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1815233788.jsonld | Interplanetary liberty : building free societies in the cosmos | Charles S. Cockell argues that beyond Earth, space is especially tyranny-prone. Yet rather than consign humanity to a dim future of extraterrestrial despotisms, he suggests that the construction of free societies is possible using uniquely blended and reformulated classical liberal ideas for the space frontier | [
"['sow']",
"['tec']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Interplanetary liberty : building free societies in the cosmos
- Document Abstract: Charles S. Cockell argues that beyond Earth, space is especially tyranny-prone. Yet rather than consign humanity to a dim future of extraterrestrial despotisms, he suggests that the construction of free societies is possible using uniquely blended and reformulated classical liberal ideas for the space frontier
- Document LIN Search class: ['sow'], ['tec']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1839862688.jsonld | Medicinal pants of the asteraceae family : traditional uses, phytochemistry and pharmacological activities | This book highlights 12 major plants in the Asteraceae family from the aspects of traditional uses as food and medicine, phytochemistry, and pharmacological activities. Asteraceae is one of the largest family of flowering plants comprising over 1,600 plant genera and 32,000 plant species. Plants belonging to this family have a long history of being used as medicinal plants for the treatment of various diseases. Many of them are also used in the preparation of foods, beverages, and also used in pharmaceutical and cosmetic industries. In addition, plants such as Artemisia annua have played an important role in the discovery of novel drugs. The book summarizes the traditional uses of the plants in the family Asteraceae and their scientific validation, which helps readers understand their relation and impact on human health. It also explains the Phytochemistry of the species and presents the pharmacological activities and mechanisms in detail. Understanding current scientific knowledge will help in the commercialization of products based on these plants and also helps to find the research gaps that should be fulfilled in the future for their optimal use. It also helps in increasing the awareness of the plant species related to conservation, cultivation, and sustainable utilization. This edited volume comprises chapters contributed by experts from around the world. . | [
"['bio']",
"['meda']",
"['hor']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Medicinal pants of the asteraceae family : traditional uses, phytochemistry and pharmacological activities
- Document Abstract: This book highlights 12 major plants in the Asteraceae family from the aspects of traditional uses as food and medicine, phytochemistry, and pharmacological activities. Asteraceae is one of the largest family of flowering plants comprising over 1,600 plant genera and 32,000 plant species. Plants belonging to this family have a long history of being used as medicinal plants for the treatment of various diseases. Many of them are also used in the preparation of foods, beverages, and also used in pharmaceutical and cosmetic industries. In addition, plants such as Artemisia annua have played an important role in the discovery of novel drugs. The book summarizes the traditional uses of the plants in the family Asteraceae and their scientific validation, which helps readers understand their relation and impact on human health. It also explains the Phytochemistry of the species and presents the pharmacological activities and mechanisms in detail. Understanding current scientific knowledge will help in the commercialization of products based on these plants and also helps to find the research gaps that should be fulfilled in the future for their optimal use. It also helps in increasing the awareness of the plant species related to conservation, cultivation, and sustainable utilization. This edited volume comprises chapters contributed by experts from around the world. .
- Document LIN Search class: ['bio'], ['meda'], ['hor']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1776160231.jsonld | Deep learning for physics research | "A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research. This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded"-- | [
"['phy']",
"['mat']",
"['inf']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Deep learning for physics research
- Document Abstract: "A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research. This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded"--
- Document LIN Search class: ['phy'], ['mat'], ['inf']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1650946864.jsonld | Hyperfinite Dirichlet Forms and Stochastic Processes | This monograph treats the theory of Dirichlet forms from a comprehensive point of view, using "nonstandard analysis." Thus, it is close in spirit to the discrete classical formulation of Dirichlet space theory by Beurling and Deny (1958). The discrete infinitesimal setup makes it possible to study the diffusion and the jump part using essentially the same methods. This setting has the advantage of being independent of special topological properties of the state space and in this sense is a natural one, valid for both finite- and infinite-dimensional spaces. The present monograph provides a thorough treatment of the symmetric as well as the non-symmetric case, surveys the theory of hyperfinite Lévy processes, and summarizes in an epilogue the model-theoretic genericity of hyperfinite stochastic processes theory. | [
"['mat']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Hyperfinite Dirichlet Forms and Stochastic Processes
- Document Abstract: This monograph treats the theory of Dirichlet forms from a comprehensive point of view, using "nonstandard analysis." Thus, it is close in spirit to the discrete classical formulation of Dirichlet space theory by Beurling and Deny (1958). The discrete infinitesimal setup makes it possible to study the diffusion and the jump part using essentially the same methods. This setting has the advantage of being independent of special topological properties of the state space and in this sense is a natural one, valid for both finite- and infinite-dimensional spaces. The present monograph provides a thorough treatment of the symmetric as well as the non-symmetric case, surveys the theory of hyperfinite Lévy processes, and summarizes in an epilogue the model-theoretic genericity of hyperfinite stochastic processes theory.
- Document LIN Search class: ['mat']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
3A1750513498.jsonld | Cognitive neuroscience of language | "Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and pedagogically practical survey of the most important developments in the field. It guides students through all of the major areas of investigation, beginning with fundamental aspects of brain structure and function, and then proceeding to cover aphasia syndromes, the perception and production of speech, the processing of language in written and signed modalities, the meanings of words, and the formulation and comprehension of complex expressions, including grammatically inflected words, complete sentences, and entire stories"-- | [
"['lin']",
"['pae']",
"['lit']"
] | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
Cutting Knowledge Date: December 2023
Today Date: 30 May 2025
You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|>
### Act as:
You are a librarian and an expert in the GND (the integrated authority files):
Code Classification Number ... Definition Source URL
0 gnd:4003694-7 00 ... NaN NaN
1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN
2 gnd:4038971-6 00 ... NaN NaN
3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN
4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN
... ... ... ... ... ...
204734 gnd:7753641-1 36 ... NaN NaN
204735 gnd:7755608-2 36 ... NaN NaN
204736 gnd:7758731-5 36 ... NaN NaN
204737 gnd:7842847-6 36 ... NaN NaN
204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/
[204739 rows x 9 columns]
You also have the knowledge of LIN Search classification:
- arc Architecture
- bau Civil engineering
- ber Mining
- bio Life Science
- cet Chemical and environmental engineering
- che Chemistry
- elt Electrical engineering
- fer Material science
- geo Earth science
- his History
- hor Horticulture
- inf Computer science
- jur Law
- lin Linguistics
- lit Literature Studies
- mas Mechanical engineering, energy technology
- mat Mathematics
- med Medical technology
- meda Medicine
- oek Economics
- pae Educational science
- phi Philosophy
- phy Physics
- rel Study of religions
- rest Other subjects
- sow Social sciences
- spo Sports science
- tec Engineering
- ver Traffic engineering
### Given the following details:
- Document Title: Cognitive neuroscience of language
- Document Abstract: "Cognitive Neuroscience of Language provides an up-to-date, wide-ranging, and pedagogically practical survey of the most important developments in the field. It guides students through all of the major areas of investigation, beginning with fundamental aspects of brain structure and function, and then proceeding to cover aphasia syndromes, the perception and production of speech, the processing of language in written and signed modalities, the meanings of words, and the formulation and comprehension of complex expressions, including grammatically inflected words, complete sentences, and entire stories"--
- Document LIN Search class: ['lin'], ['pae'], ['lit']
### Your task:
Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles.
Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data.
1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations.
2. Produce the output in structured JSON format, maintaining consistency with examples provided.
Rules:
- Always extract subjects from the core concepts mentioned in the title/abstract.
- Include synonyms, variant names, and related subjects in arrays.
- Follow the structure exactly as shown in the examples.
- Always quote the JSON format output between ```json and ```.
- No more than 20 alternate names is allowed for each subject.
- No more than 20 related subjects is allowed for each subject.
### Instructions:
1. Analyze the provided document to identify its core themes, topics, and concepts.
2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on.
3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian.
4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list.
5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format.
### Output example:
```json
{
"document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld",
"assigned_subject_titles": [
{
"Code": "gnd-4014736-8",
"Name": "Energieversorgung",
"Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"],
"Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"]
},
{
"Code": "gnd-4068598-6",
"Name": "Erneuerbare Energien",
"Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"],
"Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"]
},
...
]
}
```<|eot_id|><|start_header_id|>assistant<|end_header_id|>
|
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