c-ho/task2_prompt_test_set_Report_en_ · Datasets at Hugging Face

3A52870656X.jsonld

Can Germany be saved? : the malaise of the world's first welfare state

The first shall be last -- How German workers lost their competitive edge -- Trade-union capitalism -- Competing against the welfare state -- The withering East -- Taxes and transfers : the endless loop -- The birth dearth -- EU enlargement, migration, and the new EU constitution -- Rethinking the welfare state : a reform program

[ "['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: Can Germany be saved? : the malaise of the world's first welfare state - Document Abstract: The first shall be last -- How German workers lost their competitive edge -- Trade-union capitalism -- Competing against the welfare state -- The withering East -- Taxes and transfers : the endless loop -- The birth dearth -- EU enlargement, migration, and the new EU constitution -- Rethinking the welfare state : a reform program - 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|>

3A571139051.jsonld

Managing to improve public services

The agenda for public service improvement / Jean Hartley and Chris Skelcher -- Does governance perform? Concepts, evidence, causalities, and research strategies / Chris Skelcher -- Performativity, management and governance / Paul M. Collier -- Critical assessment of performance measurement for policy making / Michael Pidd -- Priority setting in the public sector : turning economics into a management process / Cam Donaldson... [et al.] -- Public service productivity : new approaches to performance measurement in health sectors / Mary O'Mahony, Philip Stevens, and Lucy Stokes -- Performance measurement systems and the criminal justice system : rationales and rationalities / Barbara Townley -- Valuing public sector outputs / Rachel Baker... [et al.] -- The use of geodemographics to improve public service delivery / Paul A. Longley and Michael Goodchild -- The innovation landscape for public service organizations / Jean Hartley -- Innovation type and organizational performance : an empirical exploration / Richard M. Walker and Fariborz Damanpour -- Public service failure and turnaround : towards a contingency model / George Boyne -- Orchestrating complex and programmatic change in the public services / Mike Wallace and Michael Fertig -- Conclusions : current themes and future direction for research / Cam Donaldson... [et al.]

[ "['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: Managing to improve public services - Document Abstract: The agenda for public service improvement / Jean Hartley and Chris Skelcher -- Does governance perform? Concepts, evidence, causalities, and research strategies / Chris Skelcher -- Performativity, management and governance / Paul M. Collier -- Critical assessment of performance measurement for policy making / Michael Pidd -- Priority setting in the public sector : turning economics into a management process / Cam Donaldson... [et al.] -- Public service productivity : new approaches to performance measurement in health sectors / Mary O'Mahony, Philip Stevens, and Lucy Stokes -- Performance measurement systems and the criminal justice system : rationales and rationalities / Barbara Townley -- Valuing public sector outputs / Rachel Baker... [et al.] -- The use of geodemographics to improve public service delivery / Paul A. Longley and Michael Goodchild -- The innovation landscape for public service organizations / Jean Hartley -- Innovation type and organizational performance : an empirical exploration / Richard M. Walker and Fariborz Damanpour -- Public service failure and turnaround : towards a contingency model / George Boyne -- Orchestrating complex and programmatic change in the public services / Mike Wallace and Michael Fertig -- Conclusions : current themes and future direction for research / Cam Donaldson... [et al.] - 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|>

3A1604848642.jsonld

Perspectives on U.S. energy policy : a critique of regulation

Mitchell, E. J. U.S. energy policy.--MacAvoy, P. W. and Pindyck, R. S. Price controls and the natural gas shortage.--Mancke, R. B. Performance of the Federal Energy Office.--Mitchell, E. J. and Chaffetz, P. R. Toward economy in electric power

[ "['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: Perspectives on U.S. energy policy : a critique of regulation - Document Abstract: Mitchell, E. J. U.S. energy policy.--MacAvoy, P. W. and Pindyck, R. S. Price controls and the natural gas shortage.--Mancke, R. B. Performance of the Federal Energy Office.--Mitchell, E. J. and Chaffetz, P. R. Toward economy in electric power - 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|>

3A481227156.jsonld

Verfahren zur Gewinnung von Wirkstoffen aus heimischen Gewürzpflanzen unter Anwendung tiefer Temperaturen : Schlußbericht zum InnoRegio-Verbundprojekt ; Bearbeitungszeitraum: 01.06.2002 - 31.07.2004

Fluidized bed freeze drying of plant matter, experimental investigations, plant engineering and constructions

[ "['hor']", "['bau']", "['cet']", "['mas']", "['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: Verfahren zur Gewinnung von Wirkstoffen aus heimischen Gewürzpflanzen unter Anwendung tiefer Temperaturen : Schlußbericht zum InnoRegio-Verbundprojekt ; Bearbeitungszeitraum: 01.06.2002 - 31.07.2004 - Document Abstract: Fluidized bed freeze drying of plant matter, experimental investigations, plant engineering and constructions - Document LIN Search class: ['hor'], ['bau'], ['cet'], ['mas'], ['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|>

3A250810875.jsonld

Untersuchung der Morphologie und der chemischen Bindungsverhältnisse plasmabehandelter organischer Grenzflächen und Schichtsysteme : Schlußbericht des BMBF-Vorhabens

Biphenol A carbonate, injection moulding, spin coating, plasma etching, SF6, Ar, metallisation, Al ECR plasma, microwave plasma, photoelectron spectroscopy, XPS, scanning force microscopy, SFM, force spectroscopy, noncontact mode, contact mode, mass spectroscopy

[ "['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: Untersuchung der Morphologie und der chemischen Bindungsverhältnisse plasmabehandelter organischer Grenzflächen und Schichtsysteme : Schlußbericht des BMBF-Vorhabens - Document Abstract: Biphenol A carbonate, injection moulding, spin coating, plasma etching, SF6, Ar, metallisation, Al ECR plasma, microwave plasma, photoelectron spectroscopy, XPS, scanning force microscopy, SFM, force spectroscopy, noncontact mode, contact mode, mass spectroscopy - 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|>

3A550565337.jsonld

Writing and seeing architecture

Destruction -- Can we think without language? -- The power of dreams -- Passion fixe -- "Manufacturability" -- Adventure of language, time, body -- Memories/sleep -- Intervention/Cézanne -- Afterword : for the musicians!

[ "['lit']", "['lin']", "['pae']", "['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: Writing and seeing architecture - Document Abstract: Destruction -- Can we think without language? -- The power of dreams -- Passion fixe -- "Manufacturability" -- Adventure of language, time, body -- Memories/sleep -- Intervention/Cézanne -- Afterword : for the musicians! - Document LIN Search class: ['lit'], ['lin'], ['pae'], ['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|>

3A393677109.jsonld

The Bible in Western culture : the student's guide

In the beginning -- The history of Israel -- Poetry and wisdom literature -- The prophets -- The birth and childhood of Jesus -- The ministry and teaching of Jesus -- The death and resurrection of Jesus -- The early church -- The book of Revelation (the Apocalypse)

[ "['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: The Bible in Western culture : the student's guide - Document Abstract: In the beginning -- The history of Israel -- Poetry and wisdom literature -- The prophets -- The birth and childhood of Jesus -- The ministry and teaching of Jesus -- The death and resurrection of Jesus -- The early church -- The book of Revelation (the Apocalypse) - Document LIN Search class: ['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|>

3A782548091.jsonld

Elites and politics in Central and Eastern Europe (1848 - 1918)

"The volume deals with the evolution and metamorphoses of the political elite in the Habsburg lands and the neighbouring countries during the long 19th century. It comprises fourteen studies, compiled by both renowned scholars in the field and young researchers from Central and Eastern Europe. The research targets mainly parliamentary elites, with occasional glimpses on political clubs and economic elites. Their main subjects of interest are changes in the social-professional composition of the representative assemblies and inner power plays and generation shifts. The collection of studies also focuses on the growing pressure brought by emerging nationalisms as well as electoral corruption and political patronage"--Provided by publisher

[ "['his']", "['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: Elites and politics in Central and Eastern Europe (1848 - 1918) - Document Abstract: "The volume deals with the evolution and metamorphoses of the political elite in the Habsburg lands and the neighbouring countries during the long 19th century. It comprises fourteen studies, compiled by both renowned scholars in the field and young researchers from Central and Eastern Europe. The research targets mainly parliamentary elites, with occasional glimpses on political clubs and economic elites. Their main subjects of interest are changes in the social-professional composition of the representative assemblies and inner power plays and generation shifts. The collection of studies also focuses on the growing pressure brought by emerging nationalisms as well as electoral corruption and political patronage"--Provided by publisher - Document LIN Search class: ['his'], ['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|>

3A816991588.jsonld

Model-based engineering of an automotive adaptive exterior lighting system : realistic example specifications of behavioral requirements and functional design

Model-based engineering is a well-established approach to cope with the complexity of today's embedded systems. Furthermore, model-based engineering can address industry needs for highly automated development solutions to foster correctness of safety-critical systems. In contrast, there is a vital lack of accessible specification documents for researchers for evaluation purposes. Evaluation of proposed engineering methods often relies on academic examples, automatically created unrealistic artificial models, or simple industrial specification excerpts. This research report aims at supporting researchers with model-based specifications of a real-world system on a competitive level of complexity. Therefore, a model-based specification of an Adaptive Exterior Lighting System (ELS) is presented that is part of an Automotive System Cluster (ASC). An ELS provides fundamental and additional functionalities for the well-known turn signal and low / high beam headlights. The specification documents the behavioral requirements and the functional design of the ELS, which are important artifacts in function-centered engineering. As modeling languages ITU Message Sequence Charts, Function Network, and Function Behavior Diagrams are used.

[ "['inf']", "['elt']", "['ver']" ]

<|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 engineering of an automotive adaptive exterior lighting system : realistic example specifications of behavioral requirements and functional design - Document Abstract: Model-based engineering is a well-established approach to cope with the complexity of today's embedded systems. Furthermore, model-based engineering can address industry needs for highly automated development solutions to foster correctness of safety-critical systems. In contrast, there is a vital lack of accessible specification documents for researchers for evaluation purposes. Evaluation of proposed engineering methods often relies on academic examples, automatically created unrealistic artificial models, or simple industrial specification excerpts. This research report aims at supporting researchers with model-based specifications of a real-world system on a competitive level of complexity. Therefore, a model-based specification of an Adaptive Exterior Lighting System (ELS) is presented that is part of an Automotive System Cluster (ASC). An ELS provides fundamental and additional functionalities for the well-known turn signal and low / high beam headlights. The specification documents the behavioral requirements and the functional design of the ELS, which are important artifacts in function-centered engineering. As modeling languages ITU Message Sequence Charts, Function Network, and Function Behavior Diagrams are used. - Document LIN Search class: ['inf'], ['elt'], ['ver'] ### 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|>

3A37305324X.jsonld

CO-Sensoren für wasserstoffreiche Gase : Schlussbericht zum BMBF Verbundprojekt: Wasserstofferzeugung in Mikrosystemen ; Teilprojekt: Sensorentwicklung

CO-sensor, SnO2, Methanol reformer, fuel cell, PEM, H"-rich athmosphere, reducing athmosphere, gas analysis

[ "['cet']", "['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: CO-Sensoren für wasserstoffreiche Gase : Schlussbericht zum BMBF Verbundprojekt: Wasserstofferzeugung in Mikrosystemen ; Teilprojekt: Sensorentwicklung - Document Abstract: CO-sensor, SnO2, Methanol reformer, fuel cell, PEM, H"-rich athmosphere, reducing athmosphere, gas analysis - Document LIN Search class: ['cet'], ['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|>

3A390321117.jsonld

Information Technology Auditing : an evolving agenda

An evolving agenda of Information Technology Auditing is subject of this book. The author presents various current and future issues in the domain of IT Auditing in both scholarly as well as highly practice-driven manner so as to make those issues clear in the mind of an IT auditor. The aim of the book is not to delve deep on the technologies but the impact of these technologies on practices and procedures of IT auditors. Among the topics are complex integrated information systems, enterprise resource planning, databases, complexities of internal controls, and enterprise application integration - all seen from an auditor's perspective. The book will serve a big purpose of support reference for an auditor dealing with the high-tech environment for the first time, but also for experienced auditors. TOC:IT Auditing: An Overview & Approach.- Auditing & Complex Business Information Systems.- Generation-X Technologies & Auditing.- Complex Information Systems, Auditing Standards & IT Auditors.- ERP & Information Integration Issues: Perspective for Auditors.- Technology, Auditing & Cyber-Commerce.- IT Auditing & Security of Information Systems.- Information Technology Governance & COBIT®.- Database Management Systems & Auditing.- EAI: Auditors Should Know Potential Risks to Enterprise

[ "['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: Information Technology Auditing : an evolving agenda - Document Abstract: An evolving agenda of Information Technology Auditing is subject of this book. The author presents various current and future issues in the domain of IT Auditing in both scholarly as well as highly practice-driven manner so as to make those issues clear in the mind of an IT auditor. The aim of the book is not to delve deep on the technologies but the impact of these technologies on practices and procedures of IT auditors. Among the topics are complex integrated information systems, enterprise resource planning, databases, complexities of internal controls, and enterprise application integration - all seen from an auditor's perspective. The book will serve a big purpose of support reference for an auditor dealing with the high-tech environment for the first time, but also for experienced auditors. TOC:IT Auditing: An Overview & Approach.- Auditing & Complex Business Information Systems.- Generation-X Technologies & Auditing.- Complex Information Systems, Auditing Standards & IT Auditors.- ERP & Information Integration Issues: Perspective for Auditors.- Technology, Auditing & Cyber-Commerce.- IT Auditing & Security of Information Systems.- Information Technology Governance & COBIT®.- Database Management Systems & Auditing.- EAI: Auditors Should Know Potential Risks to Enterprise - Document LIN Search class: ['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|>

3A472382837.jsonld

Entwicklung eines Verfahrens zur experimentellen Quantifizierung der Schadstoff-Quellstärke für Lockermaterial: CO2-beeinflusste Mobilisierung anorganischer Schadstoffe : Projekt ; Schlussbericht ; Laufzeit des Vorhabens: 01.10.2000 bis 31.12.2003

leachate prognosis, source term, column experiments, non-saturated conditions, CO2, electrical conductivity

[ "['cet']", "['che']", "['mas']", "['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: Entwicklung eines Verfahrens zur experimentellen Quantifizierung der Schadstoff-Quellstärke für Lockermaterial: CO2-beeinflusste Mobilisierung anorganischer Schadstoffe : Projekt ; Schlussbericht ; Laufzeit des Vorhabens: 01.10.2000 bis 31.12.2003 - Document Abstract: leachate prognosis, source term, column experiments, non-saturated conditions, CO2, electrical conductivity - Document LIN Search class: ['cet'], ['che'], ['mas'], ['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|>

3A50773176X.jsonld

The Columbia guide to African American history since 1939

Presenting a multifaceted approach to understanding the central developments in African American history since 1939, this volume combines an historical overview, essays on specific facets of the African American experience, and a chronology of events. An A-to-Z listing provides information on various movements and figures.

[ "['his']", "['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 Columbia guide to African American history since 1939 - Document Abstract: Presenting a multifaceted approach to understanding the central developments in African American history since 1939, this volume combines an historical overview, essays on specific facets of the African American experience, and a chronology of events. An A-to-Z listing provides information on various movements and figures. - Document LIN Search class: ['his'], ['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|>

3A503640301.jsonld

British Buddhism : teachings, practice and development

This book provides a survey of the seven largest Buddhist traditions in the UK, including the Forest Sangha (Theravada) and the Samatha Trust (Theravada), the Serene Reflection Meditation tradition (Soto Zen) and Soka Gakkai (both originally Japanese), the Tibetan Karma Kagyu and New Kadampa traditions and Friends of the Western Buddhist Order. Based on extensive fieldwork, the author determines how and to what extent British Buddhists groups are changing from their Asian roots, and whether any forms of "British Buddhism" are beginning to emerge

[ "['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: British Buddhism : teachings, practice and development - Document Abstract: This book provides a survey of the seven largest Buddhist traditions in the UK, including the Forest Sangha (Theravada) and the Samatha Trust (Theravada), the Serene Reflection Meditation tradition (Soto Zen) and Soka Gakkai (both originally Japanese), the Tibetan Karma Kagyu and New Kadampa traditions and Friends of the Western Buddhist Order. Based on extensive fieldwork, the author determines how and to what extent British Buddhists groups are changing from their Asian roots, and whether any forms of "British Buddhism" are beginning to emerge - Document LIN Search class: ['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|>

3A371294487.jsonld

Mac OS X Panther in a nutshell : [a desktop quick reference]

Complete overview of Mac OS Jaguar (Mac OS X 10.2) including basic system and network administration features, hundreds of tips and tricks, with an overview of Mac OS X's Unix text editors and CVS

[ "['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: Mac OS X Panther in a nutshell : [a desktop quick reference] - Document Abstract: Complete overview of Mac OS Jaguar (Mac OS X 10.2) including basic system and network administration features, hundreds of tips and tricks, with an overview of Mac OS X's Unix text editors and CVS - 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|>

3A396956378.jsonld

From traditional to group hegemony : the G7, the liberal economic order and the core-periphery gap

Introduction--group hegemony -- The group hegemon -- Too many CEOs? -- Maintaining the status quo -- Integration and the gap -- The downfall of group hegemony

[ "['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: From traditional to group hegemony : the G7, the liberal economic order and the core-periphery gap - Document Abstract: Introduction--group hegemony -- The group hegemon -- Too many CEOs? -- Maintaining the status quo -- Integration and the gap -- The downfall of group hegemony - 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|>

3A330072846.jsonld

Bilanzierung von Umweltchemikalien bei der biologischen Vorbehandlung von Restabfällen, Phase 2: Emissionen, Schadstoffbilanzen und Abluftbehandlung : Abschlußbericht ; BMBF-Verbundvorhaben: Mechanisch-biologische Vorbehandlung von zu deponierenden Abfällen ; Teilvorhaben 4/3

Mechanical-biological pretreatment (MBP), Residual solid waste, balance of environmental pollutants, VOC, TOC, MVOC, NMVOC, Gaseous Emission Control, Biofilter, Greenhouse gas

[ "['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: Bilanzierung von Umweltchemikalien bei der biologischen Vorbehandlung von Restabfällen, Phase 2: Emissionen, Schadstoffbilanzen und Abluftbehandlung : Abschlußbericht ; BMBF-Verbundvorhaben: Mechanisch-biologische Vorbehandlung von zu deponierenden Abfällen ; Teilvorhaben 4/3 - Document Abstract: Mechanical-biological pretreatment (MBP), Residual solid waste, balance of environmental pollutants, VOC, TOC, MVOC, NMVOC, Gaseous Emission Control, Biofilter, Greenhouse gas - Document LIN Search class: ['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|>

3A52159992X.jsonld

Harriet Beecher Stowe's Uncle Tom's cabin : a casebook

Introduction / Elizabeth Ammons -- Letter to Frederick Douglass / Harriet Beecher Stowe -- Letter to William Lloyd Garrison / Harriet Beecher Stowe -- Letter to Mrs. Follen / Harriet Beecher Stowe -- Does public opinion protect the slave? / Harriet Beecher Stowe -- What is to be done? Harriet Beecher Stowe -- Everybody's protest novel / James Baldwin -- Love and death in Uncle Tom's Cabin / Leslie A. Fiedler -- Sentimental power: Uncle Tom's Cabin and the politics of literary history / Jane P. Tompkins -- Getting in the kitchen with Dinah: domestic politics in Uncle Tom's Cabin / Gillian Brown -- Sharing the thunder: the literary exchanges of Harriet Beecher Stowe, Henry Bibb, and Frederick Douglass / Robert B. Stepto -- Topsy and the end man: blackface in Uncle Tom's Cabin / Sarah Meer -- "The promiscuous housekeeping": death, transgression, and homoeroticism in Uncle Tom's Cabin / P. Gabrielle Foreman -- Who gets to create the lasting images? the problem of black representation in Uncle Tom's Cabin / Sophia Cantave -- Up to heaven's gate, down to Earth's dust: the politics of judgment in Uncle Tom's Cabin / Joshua D. Bellin -- Freeing the slaves and banishing the blacks: racism, empire, and Africa in Uncle Tom's Cabin / Elizabeth Ammons

[ "['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: Harriet Beecher Stowe's Uncle Tom's cabin : a casebook - Document Abstract: Introduction / Elizabeth Ammons -- Letter to Frederick Douglass / Harriet Beecher Stowe -- Letter to William Lloyd Garrison / Harriet Beecher Stowe -- Letter to Mrs. Follen / Harriet Beecher Stowe -- Does public opinion protect the slave? / Harriet Beecher Stowe -- What is to be done? Harriet Beecher Stowe -- Everybody's protest novel / James Baldwin -- Love and death in Uncle Tom's Cabin / Leslie A. Fiedler -- Sentimental power: Uncle Tom's Cabin and the politics of literary history / Jane P. Tompkins -- Getting in the kitchen with Dinah: domestic politics in Uncle Tom's Cabin / Gillian Brown -- Sharing the thunder: the literary exchanges of Harriet Beecher Stowe, Henry Bibb, and Frederick Douglass / Robert B. Stepto -- Topsy and the end man: blackface in Uncle Tom's Cabin / Sarah Meer -- "The promiscuous housekeeping": death, transgression, and homoeroticism in Uncle Tom's Cabin / P. Gabrielle Foreman -- Who gets to create the lasting images? the problem of black representation in Uncle Tom's Cabin / Sophia Cantave -- Up to heaven's gate, down to Earth's dust: the politics of judgment in Uncle Tom's Cabin / Joshua D. Bellin -- Freeing the slaves and banishing the blacks: racism, empire, and Africa in Uncle Tom's Cabin / Elizabeth Ammons - 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|>

3A244453667.jsonld

European integration and supranational governance

Integration, supranational governance, and the institutionalization of the European polity / Alec Stone Sweet and Wayne Sandholtz -- The path to European integration : a historical-institutional analysis / Paul Pierson -- The institutional terrain of the European Union / Neil Fligstein and Jason McNichol -- From free trade to supranational polity : the European Court and integration / Alec Stone Sweet and James A. Caporaso -- The emergence of a supranational telecommunications regime / Wayne Sandholtz -- The liberalization and European reregulation of air transport / Dolores O'Reilly and Alec Stone Sweet -- Creating supranational authority in monetary and exchange-rate policy : the sources and effects of EMU / David R. Cameron -- The engines of integration? Supranational autonomy and influence in the European Union / Mark A. Pollack -- Citizen support for policy integration / Russell J. Dalton and Richard C. Eichenberg -- Institution-building from below and above : the European Community in global environmental politics / Alberta M. Sbragia -- Rules, transgovernmentalism and the expansion of European political cooperation / Michael E. Smith -- Regional integration theory : understanding our past and anticipating our future / James A. Caporaso

[ "['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 integration and supranational governance - Document Abstract: Integration, supranational governance, and the institutionalization of the European polity / Alec Stone Sweet and Wayne Sandholtz -- The path to European integration : a historical-institutional analysis / Paul Pierson -- The institutional terrain of the European Union / Neil Fligstein and Jason McNichol -- From free trade to supranational polity : the European Court and integration / Alec Stone Sweet and James A. Caporaso -- The emergence of a supranational telecommunications regime / Wayne Sandholtz -- The liberalization and European reregulation of air transport / Dolores O'Reilly and Alec Stone Sweet -- Creating supranational authority in monetary and exchange-rate policy : the sources and effects of EMU / David R. Cameron -- The engines of integration? Supranational autonomy and influence in the European Union / Mark A. Pollack -- Citizen support for policy integration / Russell J. Dalton and Richard C. Eichenberg -- Institution-building from below and above : the European Community in global environmental politics / Alberta M. Sbragia -- Rules, transgovernmentalism and the expansion of European political cooperation / Michael E. Smith -- Regional integration theory : understanding our past and anticipating our future / James A. Caporaso - Document LIN Search class: ['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|>

3A477549292.jsonld

Modeling foundations of economic property rights theory : an axiomatic analysis of economic agreements ; with 5 tables

This book offers a unique comprehensive, technically in-depth, and up-to-date treatment of modeling economic agreements by applying recent results of advanced algebras, representation theory, theory of categories, and transmutation theory. The importance of a new concept of agreements, as introduced here, is derived from a general impossibility of making a complete contract for any nontrivial economic transaction. The proposed extensions provide foundations rich enough to follow complexity of economic property rights, including entrepreneurial agreements, clubs and transfers through the restructuring processes. The book is relevant for academics with theoretical interest in economics, applied mathematics, mathematical economics, operational research and advance management of tangible and intangible assets. It provides full details and line-by-line proofs of all basic relations needed for research in modeling issues of economic property rights theory and economic agreements

[ "['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: Modeling foundations of economic property rights theory : an axiomatic analysis of economic agreements ; with 5 tables - Document Abstract: This book offers a unique comprehensive, technically in-depth, and up-to-date treatment of modeling economic agreements by applying recent results of advanced algebras, representation theory, theory of categories, and transmutation theory. The importance of a new concept of agreements, as introduced here, is derived from a general impossibility of making a complete contract for any nontrivial economic transaction. The proposed extensions provide foundations rich enough to follow complexity of economic property rights, including entrepreneurial agreements, clubs and transfers through the restructuring processes. The book is relevant for academics with theoretical interest in economics, applied mathematics, mathematical economics, operational research and advance management of tangible and intangible assets. It provides full details and line-by-line proofs of all basic relations needed for research in modeling issues of economic property rights theory and economic agreements - 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|>

3A477549225.jsonld

Frontiers in superconducting materials

Present status of High Tc theory.- Superconductivity of MgB2.- High Tc Cuperates - Thin Film Processing, Atomic Layer Controlled Deposition.- Magnetic Superconductors.- Rutheno-Cuprates.- Superconducting Magnesium Diboride: Theoretical Aspects.- Flux Pinning in MgB2.- Superconducting Fullerides.- Overview.- Organic Suprconductors.- Tl-based Cuprate Superconductor.- Different HTS Cuprates, their Structure and Chemistry.- Microstructures.- Bulk Superconductors for Applications.- Quaternary Borocarbide Superconductors.- Superconductivity in Relation to Defects and Disorder.- Superconductivity at Ultralow Temperatures and its Interplay with Nuclear Magnetism.- Progress in Growth of Bulk Single Crystals of Sodium Cobalt-Oxide.- Superconductivity under Imposed Pressure.- Heavy Fermion Superconductors.- Superconductivity in Cobalt-Oxide Hydrate.- Oxygen Cuprates HTS.- Synthesis and Properties of Bulk Superconductors for Permanent Magnetic Guideway.- Thin Films of MgB2.- Superconductors with Nano Flux Pinning Centres

[ "['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: Frontiers in superconducting materials - Document Abstract: Present status of High Tc theory.- Superconductivity of MgB2.- High Tc Cuperates - Thin Film Processing, Atomic Layer Controlled Deposition.- Magnetic Superconductors.- Rutheno-Cuprates.- Superconducting Magnesium Diboride: Theoretical Aspects.- Flux Pinning in MgB2.- Superconducting Fullerides.- Overview.- Organic Suprconductors.- Tl-based Cuprate Superconductor.- Different HTS Cuprates, their Structure and Chemistry.- Microstructures.- Bulk Superconductors for Applications.- Quaternary Borocarbide Superconductors.- Superconductivity in Relation to Defects and Disorder.- Superconductivity at Ultralow Temperatures and its Interplay with Nuclear Magnetism.- Progress in Growth of Bulk Single Crystals of Sodium Cobalt-Oxide.- Superconductivity under Imposed Pressure.- Heavy Fermion Superconductors.- Superconductivity in Cobalt-Oxide Hydrate.- Oxygen Cuprates HTS.- Synthesis and Properties of Bulk Superconductors for Permanent Magnetic Guideway.- Thin Films of MgB2.- Superconductors with Nano Flux Pinning Centres - 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|>