c-ho/task2_prompt_test_set_Book_en_ · Datasets at Hugging Face

3A1023433982.jsonld

Exploring transgenerational entrepreneurship : the role of resources and capabilities

Transgenerational entrepreneurship, as a discipline, examines the processes, resources and capabilities that allow family enterprises to create social and economic value over time in order to succeed beyond the first generation of business owners. While tangible resources such as financial and physical capital are certainly important factors in the long-term success of a family-run business, this book focuses specifically on the role of intangible resources and capabilities, which are less easily quantifiable but equally vital. - Drawing insights from in-depth longitudinal studies of twenty-six family firms in twelve countries, the contributors discuss the critical role of intangible assets such as values, virtues, tacit knowledge and learning, professionalization, internal and external social networks, and reputation. Each chapter includes both a case study that serves as a practical illustration of a particular topic as well as a discussion of the theoretical perspectives and broader implications. Featuring both contributors and case studies from across the world, this volume provides a truly global approach to the study of transgenerational entrepreneurship. - Professors and students of business and management, entrepreneurship and family business studies will find this book a fascinating addition to their libraries, as will family business owners, consultants and researchers.

[ "['oek']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Exploring transgenerational entrepreneurship : the role of resources and capabilities - Document Abstract: Transgenerational entrepreneurship, as a discipline, examines the processes, resources and capabilities that allow family enterprises to create social and economic value over time in order to succeed beyond the first generation of business owners. While tangible resources such as financial and physical capital are certainly important factors in the long-term success of a family-run business, this book focuses specifically on the role of intangible resources and capabilities, which are less easily quantifiable but equally vital. - Drawing insights from in-depth longitudinal studies of twenty-six family firms in twelve countries, the contributors discuss the critical role of intangible assets such as values, virtues, tacit knowledge and learning, professionalization, internal and external social networks, and reputation. Each chapter includes both a case study that serves as a practical illustration of a particular topic as well as a discussion of the theoretical perspectives and broader implications. Featuring both contributors and case studies from across the world, this volume provides a truly global approach to the study of transgenerational entrepreneurship. - Professors and students of business and management, entrepreneurship and family business studies will find this book a fascinating addition to their libraries, as will family business owners, consultants and researchers. - Document LIN Search class: ['oek'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1778465420.jsonld

Refugees and the violence of welfare bureaucracies in Northern Europe

Given the significant similarities and differences between the welfare states of Northern Europe and their reactions to the perceived 'refugee crisis' of 2015, the book focuses primarily on the three main cases of Denmark, Sweden and Germany. Placed in a wider Northern European context – and illustrated by those chapters that also discuss refugee experiences in Norway and the UK – the Danish, Swedish and German cases are the largest case studies of this edited volume. Thus, the book contributes to debates on the governance of non-citizens and the meaning of displacement, mobility and seeking asylum by providing interdisciplinary analyses of a largely overlooked region of the world, with two specific aims. First, we scrutinize the construction of the 2015 crisis as a response to the large influx of refugees, paying particular attention to the disciplinary discourses and bureaucratic structures that are associated with it. Second, we investigate refugees’ encounters with these bureaucratic structures and consider how these encounters shape hopes for building a new life after displacement. This allows us to show that the mobility of specific segments of the world’s population continues to be seen as a threat and a risk that has to be governed and controlled. Focusing on the Northern European context, our volume interrogates emerging policies and discourses as well as the lived experiences of bureaucratization from the perspective of individuals who find themselves the very objects of bureaucracies

[ "['sow']", "['geo']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Refugees and the violence of welfare bureaucracies in Northern Europe - Document Abstract: Given the significant similarities and differences between the welfare states of Northern Europe and their reactions to the perceived 'refugee crisis' of 2015, the book focuses primarily on the three main cases of Denmark, Sweden and Germany. Placed in a wider Northern European context – and illustrated by those chapters that also discuss refugee experiences in Norway and the UK – the Danish, Swedish and German cases are the largest case studies of this edited volume. Thus, the book contributes to debates on the governance of non-citizens and the meaning of displacement, mobility and seeking asylum by providing interdisciplinary analyses of a largely overlooked region of the world, with two specific aims. First, we scrutinize the construction of the 2015 crisis as a response to the large influx of refugees, paying particular attention to the disciplinary discourses and bureaucratic structures that are associated with it. Second, we investigate refugees’ encounters with these bureaucratic structures and consider how these encounters shape hopes for building a new life after displacement. This allows us to show that the mobility of specific segments of the world’s population continues to be seen as a threat and a risk that has to be governed and controlled. Focusing on the Northern European context, our volume interrogates emerging policies and discourses as well as the lived experiences of bureaucratization from the perspective of individuals who find themselves the very objects of bureaucracies - Document LIN Search class: ['sow'], ['geo'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1618672606.jsonld

Handbook of research on employee voice

'This Handbook is an important contribution to knowledge about employee voice which combines a variety of approaches to the subject by drawing on different disciplines, forms and philosophies. It provides new research from a wide range of national and international experience and covers both collective and individual means of expressing the views of employees in the workplace. A feature of the Handbook is that it covers not only employment relations perspectives on the subject but also draws upon human resource management as well as organizational studies. The editors are leading authors in the subject area and have brought together both established authors and emerging scholars who have fresh approaches to the role of employee voice in organizations and society. I am sure that the Handbook will become a standard reference in the future.'--Russell Lansbury, University of Sydney, Australia. 'Given that employee voice has become more important recently across a range of disciplines, this book is very timely indeed. It brings together contributions from 50 well-known academics from different countries who provide a comprehensive account of employee voice from a variety of historical and contemporary angles. Crucially it also raises key questions for current and future research and practice. In my view this book should be compulsory reading for academics, policy-makers, practitioners and students in the subject area.'--Michael Marchington, University of Strathclyde and University of Manchester, UK. The term 'employee voice' refers to the ways and means through which employees can attempt to have a say and influence organizational issues that affect their work and the interests of managers and owners. The concept is distinct, but related to and often overlapping with issues such as participation, involvement and, more recently, engagement. This Handbook provides an up-to-date survey of the current research into employee voice, sets this research into context and sets a marker for future research in the area. The contributors are all expert in their field. The book examines the theory and history of employee voice and what voice means to various actors, including employers, middle managers, employees, unions and policy-makers. The authors observe how these actors engage in various voice processes, such as collective bargaining, grievance procedures, task-based voice, partnership and mutual gains. The efforts that have been made to date to evaluate voice across a ... pt. I. Perspectives and theories of voice -- pt. II. Actors -- pt. III. Forms -- pt. IV. Evaluating voice

[ "['oek']", "['sow']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Handbook of research on employee voice - Document Abstract: 'This Handbook is an important contribution to knowledge about employee voice which combines a variety of approaches to the subject by drawing on different disciplines, forms and philosophies. It provides new research from a wide range of national and international experience and covers both collective and individual means of expressing the views of employees in the workplace. A feature of the Handbook is that it covers not only employment relations perspectives on the subject but also draws upon human resource management as well as organizational studies. The editors are leading authors in the subject area and have brought together both established authors and emerging scholars who have fresh approaches to the role of employee voice in organizations and society. I am sure that the Handbook will become a standard reference in the future.'--Russell Lansbury, University of Sydney, Australia. 'Given that employee voice has become more important recently across a range of disciplines, this book is very timely indeed. It brings together contributions from 50 well-known academics from different countries who provide a comprehensive account of employee voice from a variety of historical and contemporary angles. Crucially it also raises key questions for current and future research and practice. In my view this book should be compulsory reading for academics, policy-makers, practitioners and students in the subject area.'--Michael Marchington, University of Strathclyde and University of Manchester, UK. The term 'employee voice' refers to the ways and means through which employees can attempt to have a say and influence organizational issues that affect their work and the interests of managers and owners. The concept is distinct, but related to and often overlapping with issues such as participation, involvement and, more recently, engagement. This Handbook provides an up-to-date survey of the current research into employee voice, sets this research into context and sets a marker for future research in the area. The contributors are all expert in their field. The book examines the theory and history of employee voice and what voice means to various actors, including employers, middle managers, employees, unions and policy-makers. The authors observe how these actors engage in various voice processes, such as collective bargaining, grievance procedures, task-based voice, partnership and mutual gains. The efforts that have been made to date to evaluate voice across a ... pt. I. Perspectives and theories of voice -- pt. II. Actors -- pt. III. Forms -- pt. IV. Evaluating voice - Document LIN Search class: ['oek'], ['sow'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1813221243.jsonld

Handbook on migration and welfare

"Bringing together prominent scholars in the field, this Handbook provides an interdisciplinary exploration of the complex interrelationship between migration and welfare. Chapters explore the extent to which immigration policy affects - and is affected by - welfare states, from both economic and political perspectives. This Handbook also examines the effects of emigration on sending societies exploring issues such as the impact of remittances, diasporas, and skill deterioration as a result of human capital flight on capacity building and on economic and political development more generally. Contributors draw on both qualitative and quantitative research to illuminate the contours and patterns of this complex relationship. This includes the assumed tension-reducing role of multiculturalist and integration policies, the shaping of native beliefs about migrants by socio-economic constraints and the potential for the extension of social rights to migrants to influence and increase pro-redistributive attitudes. Investigating the drivers of welfare chauvinism and its effects on social trust between native and immigrant groups, the Handbook also provides insights into the latest theoretical and empirical findings regarding the progressive's dilemma, one of the most formidable policy challenges leaders of modern societies face. Breaking new theoretical and empirical ground, this cutting-edge Handbook is essential reading for academics, researchers and students in political science, economics, sociology, social policy and political philosophy, particularly those focused on global migration and changing attitudes to welfare. It will also benefit policymakers looking for new data and pioneering perspectives on immigration policy and the future of welfare states in a changing world economy"--

[ "['sow']", "['oek']", "['geo']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Handbook on migration and welfare - Document Abstract: "Bringing together prominent scholars in the field, this Handbook provides an interdisciplinary exploration of the complex interrelationship between migration and welfare. Chapters explore the extent to which immigration policy affects - and is affected by - welfare states, from both economic and political perspectives. This Handbook also examines the effects of emigration on sending societies exploring issues such as the impact of remittances, diasporas, and skill deterioration as a result of human capital flight on capacity building and on economic and political development more generally. Contributors draw on both qualitative and quantitative research to illuminate the contours and patterns of this complex relationship. This includes the assumed tension-reducing role of multiculturalist and integration policies, the shaping of native beliefs about migrants by socio-economic constraints and the potential for the extension of social rights to migrants to influence and increase pro-redistributive attitudes. Investigating the drivers of welfare chauvinism and its effects on social trust between native and immigrant groups, the Handbook also provides insights into the latest theoretical and empirical findings regarding the progressive's dilemma, one of the most formidable policy challenges leaders of modern societies face. Breaking new theoretical and empirical ground, this cutting-edge Handbook is essential reading for academics, researchers and students in political science, economics, sociology, social policy and political philosophy, particularly those focused on global migration and changing attitudes to welfare. It will also benefit policymakers looking for new data and pioneering perspectives on immigration policy and the future of welfare states in a changing world economy"-- - Document LIN Search class: ['sow'], ['oek'], ['geo'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A633917931.jsonld

The scepter and the star : messianism in light of the Dead Sea scrolls

Messianism and the scrolls -- The fallen book of David : Messianism and the Hebrew Bible -- A shoot from the stump of Jesse -- The messiahs of Aaron and Israel -- Teacher, priest and prophet -- A throne in the heavens -- The messiah as the son of God -- The Danielic son of man -- Messianic dreams in action

[ "['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 scepter and the star : messianism in light of the Dead Sea scrolls - Document Abstract: Messianism and the scrolls -- The fallen book of David : Messianism and the Hebrew Bible -- A shoot from the stump of Jesse -- The messiahs of Aaron and Israel -- Teacher, priest and prophet -- A throne in the heavens -- The messiah as the son of God -- The Danielic son of man -- Messianic dreams in action - 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|>

3A823005380.jsonld

War and occupation in Iraqi fiction

The last three decades in Iraqi history can be summarized in these words: dictatorship, war and occupation. After the fall of Saddam's regime Iraqi novelists are not only writing about the occupation and current disintegration of Iraq but are also revisiting previous wars that devastated their lives. Ikram Masmoudi examines how recent Iraqi fiction about war depicts the Iraqi subject in its relation to war, coercion, subjugation and occupation. The theoretical concept of the Homo Sacer, the killable, as defined by Giorgio Agamben, is used to explore the lives and the experiences of different war actors such as the soldier, the war deserter, the camp detainee and the suicide bomber depicted in in their 'bare life' as sacred men doomed to death in the necropolitical context

[ "['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: War and occupation in Iraqi fiction - Document Abstract: The last three decades in Iraqi history can be summarized in these words: dictatorship, war and occupation. After the fall of Saddam's regime Iraqi novelists are not only writing about the occupation and current disintegration of Iraq but are also revisiting previous wars that devastated their lives. Ikram Masmoudi examines how recent Iraqi fiction about war depicts the Iraqi subject in its relation to war, coercion, subjugation and occupation. The theoretical concept of the Homo Sacer, the killable, as defined by Giorgio Agamben, is used to explore the lives and the experiences of different war actors such as the soldier, the war deserter, the camp detainee and the suicide bomber depicted in in their 'bare life' as sacred men doomed to death in the necropolitical context - 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|>

3A729972704.jsonld

Global Forum on Transparency and Exchange of Information for Tax Purposes Peer Reviews: San Marino 2011 : Phase 1: Legal and Regulatory Framework

The Global Forum on Transparency and Exchange of Information for Tax Purposes is the multilateral framework within which work in the area of tax transparency and exchange of information is carried out by over 90 jurisdictions which participate in the work of the Global Forum on an equal footing. The Global Forum is charged with in-depth monitoring and peer review of the implementation of the standards of transparency and exchange of information for tax purposes. These standards are primarily reflected in the 2002 OECD Model Agreement on Exchange of Information on Tax Matters and its commentary, and in Article 26 of the OECD Model Tax Convention on Income and on Capital and its commentary as updated in 2004, which has been incorporated in the UN Model Tax Convention. The standards provide for international exchange on request of foreseeably relevant information for the administration or enforcement of the domestic tax laws of a requesting party. “Fishing expeditions” are not authorised, but all foreseeably relevant information must be provided, including bank information and information held by fiduciaries, regardless of the existence of a domestic tax interest or the application of a dual criminality standard. All members of the Global Forum, as well as jurisdictions identified by the Global Forum as relevant to its work, are being reviewed. This process is undertaken in two phases. Phase 1 reviews assess the quality of a jurisdiction’s legal and regulatory framework for the exchange of information, while Phase 2 reviews look at the practical implementation of that framework. Some Global Forum members are undergoing combined – Phase 1 plus Phase 2 – reviews. The ultimate goal is to help jurisdictions to effectively implement the international standards of transparency and exchange of information for tax purposes. All review reports are published once approved by the Global Forum and they thus represent agreed Global Forum reports.

[ "['oek']", "['jur']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Global Forum on Transparency and Exchange of Information for Tax Purposes Peer Reviews: San Marino 2011 : Phase 1: Legal and Regulatory Framework - Document Abstract: The Global Forum on Transparency and Exchange of Information for Tax Purposes is the multilateral framework within which work in the area of tax transparency and exchange of information is carried out by over 90 jurisdictions which participate in the work of the Global Forum on an equal footing. The Global Forum is charged with in-depth monitoring and peer review of the implementation of the standards of transparency and exchange of information for tax purposes. These standards are primarily reflected in the 2002 OECD Model Agreement on Exchange of Information on Tax Matters and its commentary, and in Article 26 of the OECD Model Tax Convention on Income and on Capital and its commentary as updated in 2004, which has been incorporated in the UN Model Tax Convention. The standards provide for international exchange on request of foreseeably relevant information for the administration or enforcement of the domestic tax laws of a requesting party. “Fishing expeditions” are not authorised, but all foreseeably relevant information must be provided, including bank information and information held by fiduciaries, regardless of the existence of a domestic tax interest or the application of a dual criminality standard. All members of the Global Forum, as well as jurisdictions identified by the Global Forum as relevant to its work, are being reviewed. This process is undertaken in two phases. Phase 1 reviews assess the quality of a jurisdiction’s legal and regulatory framework for the exchange of information, while Phase 2 reviews look at the practical implementation of that framework. Some Global Forum members are undergoing combined – Phase 1 plus Phase 2 – reviews. The ultimate goal is to help jurisdictions to effectively implement the international standards of transparency and exchange of information for tax purposes. All review reports are published once approved by the Global Forum and they thus represent agreed Global Forum reports. - Document LIN Search class: ['oek'], ['jur'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A749297743.jsonld

Quantum Squeezing

The subject of this book is the new field of squeezing in quantum fields. This general area includes all types of systems in which quantum fluctuations are reduced below those in the normal vacuum state. The book covers the main currently known techniques of generating squeezed photon fields, together with some treatment of matter field squeezing. Both theory and experiments are covered, together with applications to communications and measurement. The chapters of the book are written by the foremost international experts in the field, and their coverage extends from general introductory material, to the most recent developments

[ "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Quantum Squeezing - Document Abstract: The subject of this book is the new field of squeezing in quantum fields. This general area includes all types of systems in which quantum fluctuations are reduced below those in the normal vacuum state. The book covers the main currently known techniques of generating squeezed photon fields, together with some treatment of matter field squeezing. Both theory and experiments are covered, together with applications to communications and measurement. The chapters of the book are written by the foremost international experts in the field, and their coverage extends from general introductory material, to the most recent developments - Document LIN Search class: ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A662090853.jsonld

Large-scale computing techniques : [for complex system simulations]

"Complex systems modeling and simulation approaches are being adopted in a growing number of sectors, including finance, economics, biology, astronomy, and many more. Technologies ranging from distributed computing to specialized hardware are explored and developed to address the computational requirements arising in complex systems simulations.The aim of this book is to present a representative overview of contemporary large-scale computing technologies in the context of complex systems simulations applications. The intention is to identify new research directions in this field and to provide a communications platform facilitating an exchange of concepts, ideas and needs between the scientists and technologist and complex system modelers. On the application side, the book focuses on modeling and simulation of natural and man-made complex systems. On the computing technology side, emphasis is placed on the distributed computing approaches, but supercomputing and other novel technologies are also considered"-- "The aim of this book is to present a representative overview of contemporary large-scale computing technologies in the context of complex systems simulations applications"--

[ "['inf']", "['mat']", "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Large-scale computing techniques : [for complex system simulations] - Document Abstract: "Complex systems modeling and simulation approaches are being adopted in a growing number of sectors, including finance, economics, biology, astronomy, and many more. Technologies ranging from distributed computing to specialized hardware are explored and developed to address the computational requirements arising in complex systems simulations.The aim of this book is to present a representative overview of contemporary large-scale computing technologies in the context of complex systems simulations applications. The intention is to identify new research directions in this field and to provide a communications platform facilitating an exchange of concepts, ideas and needs between the scientists and technologist and complex system modelers. On the application side, the book focuses on modeling and simulation of natural and man-made complex systems. On the computing technology side, emphasis is placed on the distributed computing approaches, but supercomputing and other novel technologies are also considered"-- "The aim of this book is to present a representative overview of contemporary large-scale computing technologies in the context of complex systems simulations applications"-- - Document LIN Search class: ['inf'], ['mat'], ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A164793883X.jsonld

Sepsis

Sepsis is a serious medical condition, resulting from the immune response to a severe infection. Septicaemia is sepsis of the bloodstream caused by bactemeria, which is the presence of bacteria in the bloodstream. The term septecaemia is also used to refer to sepsis in general. In the US, sepsis is the leading cause of death in non-coronary ICU patients, and the tenth most common form of death overall. Sepsis is common and also more dangerous in the elderly, immunocompromised, and critically ill patients. It occurs in 1-2% of all hospitilizations and accounts for as much as 25% of all ICU bed utilization. It is a major cause of death in intensive care units worldwide, with mortality rates that range from 20% for sepsis to 40% for severe sepsis to more than 60% for septic shock. The book brings together a group of experts to consider how the various pathways implicated in early and late sepsis interact. It addresses the frequent, but under-recognised condition of sepsis and discusses new ways to prevent and treat it. It describes numerous pharmocological approaches to therapy for early and late sepsis. It includes detailed discussion of the various physiological systems implicated in sepsis. This is an invaluable resource for all critical care physicians and researchers. It is also informative reading for immunologists, endocrinologists, neuroendocrinologists, phsysiologists and pharmacologists Drawing on multi-professional editors and authors brings in the variety of perspectives and knowledge seen within the critical care team to produce a text that is both inclusive of and targeted to the individual needs of its intended audience. The nature of the material, written and edited by experienced practitioners in the field will provide an invaluable source of reference and training material for specialists and those already trained in their field. Discover new, effective strategies to prevent and treat sepsis. In this book, leading medical experts consider how the pathways implicated in early and late sepsis interact. Next, the book describes numerous pharmacological approaches that enable you to provide state-of-the-technology care for patients in both early and late sepsis. You'll also get detailed discussions of how the various physiological systems function under sepsis.

[ "['rest']", "['meda']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Sepsis - Document Abstract: Sepsis is a serious medical condition, resulting from the immune response to a severe infection. Septicaemia is sepsis of the bloodstream caused by bactemeria, which is the presence of bacteria in the bloodstream. The term septecaemia is also used to refer to sepsis in general. In the US, sepsis is the leading cause of death in non-coronary ICU patients, and the tenth most common form of death overall. Sepsis is common and also more dangerous in the elderly, immunocompromised, and critically ill patients. It occurs in 1-2% of all hospitilizations and accounts for as much as 25% of all ICU bed utilization. It is a major cause of death in intensive care units worldwide, with mortality rates that range from 20% for sepsis to 40% for severe sepsis to more than 60% for septic shock. The book brings together a group of experts to consider how the various pathways implicated in early and late sepsis interact. It addresses the frequent, but under-recognised condition of sepsis and discusses new ways to prevent and treat it. It describes numerous pharmocological approaches to therapy for early and late sepsis. It includes detailed discussion of the various physiological systems implicated in sepsis. This is an invaluable resource for all critical care physicians and researchers. It is also informative reading for immunologists, endocrinologists, neuroendocrinologists, phsysiologists and pharmacologists Drawing on multi-professional editors and authors brings in the variety of perspectives and knowledge seen within the critical care team to produce a text that is both inclusive of and targeted to the individual needs of its intended audience. The nature of the material, written and edited by experienced practitioners in the field will provide an invaluable source of reference and training material for specialists and those already trained in their field. Discover new, effective strategies to prevent and treat sepsis. In this book, leading medical experts consider how the pathways implicated in early and late sepsis interact. Next, the book describes numerous pharmacological approaches that enable you to provide state-of-the-technology care for patients in both early and late sepsis. You'll also get detailed discussions of how the various physiological systems function under sepsis. - Document LIN Search class: ['rest'], ['meda'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1794805303.jsonld

The Oxford handbook of Gabriel García Márquez

This handbook offers a comprehensive examination of Gabriel Garc ia M arquez's life, oeuvre and legacy, the first such work since his death in 2014. It incorporates ongoing critical approaches such as feminism, ecocriticism, Marxism and ethnic studies, while elucidating key aspects of his work, such as his Caribbean-Colombian background; his use of magical realism, myth, and folklore; and his left-wing political views

[ "['lit']", "['rest']", "['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: The Oxford handbook of Gabriel García Márquez - Document Abstract: This handbook offers a comprehensive examination of Gabriel Garc ia M arquez's life, oeuvre and legacy, the first such work since his death in 2014. It incorporates ongoing critical approaches such as feminism, ecocriticism, Marxism and ethnic studies, while elucidating key aspects of his work, such as his Caribbean-Colombian background; his use of magical realism, myth, and folklore; and his left-wing political views - Document LIN Search class: ['lit'], ['rest'], ['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|>

3A569931681.jsonld

Ageing and development

That we all live longer is perhaps one of the greatest achievements of human progress. This book looks at how increasing numbers of older people across the globe are having a huge impact on the structure of populations, offering both challenges and opportunities for the future

[ "['sow']", "['geo']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Ageing and development - Document Abstract: That we all live longer is perhaps one of the greatest achievements of human progress. This book looks at how increasing numbers of older people across the globe are having a huge impact on the structure of populations, offering both challenges and opportunities for the future - Document LIN Search class: ['sow'], ['geo'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A373906978.jsonld

The Gestapo : a history of Hitler's secret police 1933 - 45

This is a detailed history of Heinrich Himmler's evil organization, whose 20,000 members were responsible for the internal security of the Reich. Based upon the Gestapo's own archives and eye-witness accounts, the author charts the development of the organization, its key figures, such as Reinhard Heydrich and Heinrich Muller, its brutal methods, and how the Gestapo dealt with internal security, including the various unsuccessful attempts to assassinate Hitler

[ "['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 Gestapo : a history of Hitler's secret police 1933 - 45 - Document Abstract: This is a detailed history of Heinrich Himmler's evil organization, whose 20,000 members were responsible for the internal security of the Reich. Based upon the Gestapo's own archives and eye-witness accounts, the author charts the development of the organization, its key figures, such as Reinhard Heydrich and Heinrich Muller, its brutal methods, and how the Gestapo dealt with internal security, including the various unsuccessful attempts to assassinate Hitler - 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|>

3A1742259391.jsonld

Human resource management : a contemporary approach

Beardwell & Thompson’s text offers a critical, social-science focused approach to HRM which caters for the students studying HRM at the higher level of undergraduate as well as being suited to those on MBA and postgraduate courses. This text has a specialised International HRM section, which gives it a competitive edge over others, and makes it suitable for a wider range of courses. It is also mapped closely to the relevant CIPD modules, and is edited and authored by academics who are heavily involved with the CIPD

[ "['oek']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Human resource management : a contemporary approach - Document Abstract: Beardwell & Thompson’s text offers a critical, social-science focused approach to HRM which caters for the students studying HRM at the higher level of undergraduate as well as being suited to those on MBA and postgraduate courses. This text has a specialised International HRM section, which gives it a competitive edge over others, and makes it suitable for a wider range of courses. It is also mapped closely to the relevant CIPD modules, and is edited and authored by academics who are heavily involved with the CIPD - Document LIN Search class: ['oek'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A086248405.jsonld

International trade and labor markets : theory, evidence, and policy implications

An overview of the issue -- Globalization and labor : the view from main street to mainstream -- Some simple models of trade and unemployment -- Some empirics -- Policy analysis

[ "['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: International trade and labor markets : theory, evidence, and policy implications - Document Abstract: An overview of the issue -- Globalization and labor : the view from main street to mainstream -- Some simple models of trade and unemployment -- Some empirics -- Policy analysis - 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|>

3A1653643870.jsonld

Economic Competence and Financial Literacy of Young Adults : Status and Challenges

The authors take a detailed look at the economic competence and financial literacy of young adults, especially of those who start an apprenticeship or who take up their studies at a university. Economic competence and financial literacy are of special interest within this group, because these young people are – mostly for the fi rst time in their lives – responsible for autonomously managing their own fi nancial affairs and deal with economic challenges.

[ "['oek']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Economic Competence and Financial Literacy of Young Adults : Status and Challenges - Document Abstract: The authors take a detailed look at the economic competence and financial literacy of young adults, especially of those who start an apprenticeship or who take up their studies at a university. Economic competence and financial literacy are of special interest within this group, because these young people are – mostly for the fi rst time in their lives – responsible for autonomously managing their own fi nancial affairs and deal with economic challenges. - Document LIN Search class: ['oek'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A164658239X.jsonld

Handbook of pediatric strabismus and amblyopia

Based on Dr. Wright's classic major reference, Handbook of Pediatric Strabismus and Amblyopia outlines the latest findings in diagnosing the most commonly presenting problems in pediatic cases, offering the most complete assessment tools for accurate diagnosis and then best treatment options. Distilling the essentials of these prevelant and sometimes complicated cases into a portable, complete and authorative pocket reference, this handbook offers a complete picture of how to best treat pediatric patients. Specifically, the introductory chapters on the specifics of pediatric ophthalmology (embryology, post-natal development and the pediatric exam) will help newcomers to pediatric practice fully grasp the subtle differences in pediatric care. The chapters are written by leading experts in the field and are presented in a user-friendly format, relying on heavily illustrated in color plates, clincally helpful tables, charts, and decision-making guidelines. This approach will enable the practitioner (whether specialist or generalist) to make the most accurate diagnosis and choose the most effective treatment option.

[ "['meda']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Handbook of pediatric strabismus and amblyopia - Document Abstract: Based on Dr. Wright's classic major reference, Handbook of Pediatric Strabismus and Amblyopia outlines the latest findings in diagnosing the most commonly presenting problems in pediatic cases, offering the most complete assessment tools for accurate diagnosis and then best treatment options. Distilling the essentials of these prevelant and sometimes complicated cases into a portable, complete and authorative pocket reference, this handbook offers a complete picture of how to best treat pediatric patients. Specifically, the introductory chapters on the specifics of pediatric ophthalmology (embryology, post-natal development and the pediatric exam) will help newcomers to pediatric practice fully grasp the subtle differences in pediatric care. The chapters are written by leading experts in the field and are presented in a user-friendly format, relying on heavily illustrated in color plates, clincally helpful tables, charts, and decision-making guidelines. This approach will enable the practitioner (whether specialist or generalist) to make the most accurate diagnosis and choose the most effective treatment option. - Document LIN Search class: ['meda'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1023432870.jsonld

Changing stocks, flows and behaviors in industrial ecosystems

Industrial ecology provides a consistent material and energetic description of human production and consumption processes in the larger context of environmental and socioeconomic change. The contributors to this book offer methodologies for such descriptions, focusing on the dynamics associated with stocks of materials and capital, flows of raw materials, intermediate products, desired outputs and wastes, as well as the associated changes in behaviors of producers, consumers and institutions pt. 1. Background and concepts -- pt. 2. Stocks and flows dynamics -- pt. 3. Agent-based analysis of dynamic industrial ecosystems

[ "['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: Changing stocks, flows and behaviors in industrial ecosystems - Document Abstract: Industrial ecology provides a consistent material and energetic description of human production and consumption processes in the larger context of environmental and socioeconomic change. The contributors to this book offer methodologies for such descriptions, focusing on the dynamics associated with stocks of materials and capital, flows of raw materials, intermediate products, desired outputs and wastes, as well as the associated changes in behaviors of producers, consumers and institutions pt. 1. Background and concepts -- pt. 2. Stocks and flows dynamics -- pt. 3. Agent-based analysis of dynamic industrial ecosystems - 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|>

3A379094584.jsonld

Practical radiography : principles and applications

This book provides radiological technicians, radiologists, technicians, developers and sales engineers with a unique display of the methods and applications used in radiography. Building on the physical basis and the quality and effects of X-rays, the book describes X-ray systems for diagnostics and interventions, the technique behind a radiographic image, image quality, patient data management including data archiving and communication with PACS in the hospital as well as between a physician's practice and hospitals. All descriptions are in accordance with the technical and diagnostic requirements to be met by modern, frequently digital radiographic as well as image processing methods and systems

[ "['meda']", "['phy']", "['med']" ]

<|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: Practical radiography : principles and applications - Document Abstract: This book provides radiological technicians, radiologists, technicians, developers and sales engineers with a unique display of the methods and applications used in radiography. Building on the physical basis and the quality and effects of X-rays, the book describes X-ray systems for diagnostics and interventions, the technique behind a radiographic image, image quality, patient data management including data archiving and communication with PACS in the hospital as well as between a physician's practice and hospitals. All descriptions are in accordance with the technical and diagnostic requirements to be met by modern, frequently digital radiographic as well as image processing methods and systems - Document LIN Search class: ['meda'], ['phy'], ['med'] ### 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|>

3A1860406343.jsonld

Pathways of greening labour markets : opportunities and challenges for regional and local labour market observation in Europe and beyond

Green transformation affects labour markets significantly and changes the demand for (new) skills, jobs, and products. This anthology by the European Network on Regional Labour Market Monitoring provides evidence and lessons on the greening of the regional and local labour markets in (regional) case studies as well as discusses concepts and tools for analysing and measuring this process. Also, the authors elaborate on the relevance and challenges which greening poses for companies and the role which green skills and digitisation play in this process. Therefore, the anthology is of vital interest to stakeholders in politics, labour market observation or research, academia, as well as regulators.

[ "['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: Pathways of greening labour markets : opportunities and challenges for regional and local labour market observation in Europe and beyond - Document Abstract: Green transformation affects labour markets significantly and changes the demand for (new) skills, jobs, and products. This anthology by the European Network on Regional Labour Market Monitoring provides evidence and lessons on the greening of the regional and local labour markets in (regional) case studies as well as discusses concepts and tools for analysing and measuring this process. Also, the authors elaborate on the relevance and challenges which greening poses for companies and the role which green skills and digitisation play in this process. Therefore, the anthology is of vital interest to stakeholders in politics, labour market observation or research, academia, as well as regulators. - 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|>

3A1778729436.jsonld

Fairy Tale Films : visions of ambiguity

In this, the first collection of essays to address the development of fairy tale film as a genre, Pauline Greenhill and Sidney Eve Matrix stress, "the mirror of fairy-tale film reflects not so much what its audience members actually are but how they see themselves and their potential to develop (or, likewise, to regress)."

[ "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Fairy Tale Films : visions of ambiguity - Document Abstract: In this, the first collection of essays to address the development of fairy tale film as a genre, Pauline Greenhill and Sidney Eve Matrix stress, "the mirror of fairy-tale film reflects not so much what its audience members actually are but how they see themselves and their potential to develop (or, likewise, to regress)." - Document LIN Search class: ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A820871273.jsonld

Cuba's racial crucible : the sexual economy of social identities, 1750-2000

"For the past two centuries, competing views of Cuban racial identity have remained in continuous tension, with whiteness, blackness, and race mixture variably upheld as ideals. Cuba's Racial Crucible explores the historical dynamics behind Cuban racial identities by highlighting the racially-selective reproductive practices and genealogical memories associated with family formation. Karen Y. Morrison reads archival, oral-history, and literary sources to demonstrate the ideological centrality and inseparability of race, nation, and family in definitions of Cubanidad. Morrison analyzes the conditions that supported the social advance and decline of notions of white racial superiority, nationalist projections of racial hybridity, and pride in African descent that influenced, but also were shaped by, Cuban men and women's every day, racially-oriented choices in creating families"--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: Cuba's racial crucible : the sexual economy of social identities, 1750-2000 - Document Abstract: "For the past two centuries, competing views of Cuban racial identity have remained in continuous tension, with whiteness, blackness, and race mixture variably upheld as ideals. Cuba's Racial Crucible explores the historical dynamics behind Cuban racial identities by highlighting the racially-selective reproductive practices and genealogical memories associated with family formation. Karen Y. Morrison reads archival, oral-history, and literary sources to demonstrate the ideological centrality and inseparability of race, nation, and family in definitions of Cubanidad. Morrison analyzes the conditions that supported the social advance and decline of notions of white racial superiority, nationalist projections of racial hybridity, and pride in African descent that influenced, but also were shaped by, Cuban men and women's every day, racially-oriented choices in creating families"--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|>

3A1799793257.jsonld

Rethinking social movements after '68 : selves and solidarities in west Germany and beyond

The year 1968 has widely been viewed as the only major watershed moment during the latter half of the twentieth century. Rethinking Social Movements after ’68 takes on this conventional approach, exploring the spaces, practices, organization, ideas and agendas of numerous activists and movements across the 1970s and 1980s. From the Maoist Communist League to the women’s movement, youth center movement, and gay liberation movement, established and emerging scholars across Europe and North America shed new light on the development of modern European popular politics and social change.

[ "['sow']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Rethinking social movements after '68 : selves and solidarities in west Germany and beyond - Document Abstract: The year 1968 has widely been viewed as the only major watershed moment during the latter half of the twentieth century. Rethinking Social Movements after ’68 takes on this conventional approach, exploring the spaces, practices, organization, ideas and agendas of numerous activists and movements across the 1970s and 1980s. From the Maoist Communist League to the women’s movement, youth center movement, and gay liberation movement, established and emerging scholars across Europe and North America shed new light on the development of modern European popular politics and social change. - Document LIN Search class: ['sow'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A831858397.jsonld

Religion and Human Rights : Global Challenges from Intercultural Perspectives

Current processes of globalization are challenging human rights and the attempts to institutionalize them in many ways. The question of the connection between religion and human rights is a crucial point here. The collected lectures and essays of this volume derive from the academic discourse between German and South African scholars that took place within the German-South African Year of Science 2012/13

[ "['jur']", "['rel']", "['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: Religion and Human Rights : Global Challenges from Intercultural Perspectives - Document Abstract: Current processes of globalization are challenging human rights and the attempts to institutionalize them in many ways. The question of the connection between religion and human rights is a crucial point here. The collected lectures and essays of this volume derive from the academic discourse between German and South African scholars that took place within the German-South African Year of Science 2012/13 - Document LIN Search class: ['jur'], ['rel'], ['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|>

3A840556322.jsonld

Ancient Jewish prayers and emotions : a study of the emotions associated with prayer in the Jewish and related literature of the Second Temple period and immediately afterwards

This collection of essays offers an analysis of central texts in Greek, Hebrew and Aramaic relating to emotions within literary prayers. Their discussions touch upon such diverse topics as relations with God, exegesis, education, prophecy, linguistic expression, feminism, happiness, grief, cult, suicide, non-Jews, Hellenism, Qumran and Jerusalem. The articles contribute to a scientific understanding of early Rabbinic and Christian ideas This collection of essaysoffers ananalysis of central texts in Greek, Hebrew and Aramaic relating to emotions within literary prayers. Their discussions touch upon such diverse topics as relations with God, exegesis, education, prophecy, linguistic expression, feminism, happiness, grief, cult, suicide, non-Jews, Hellenism, Qumran and Jerusalem. The articles contribute to a scientific understanding of early Rabbinic and Christian ideas. Stefan C. Reif, St John's College, University of Cambridge, England;Renate Egger-Wenzel, University of Salzburg, Austria.

[ "['rel']", "['rest']", "['lit']", "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Ancient Jewish prayers and emotions : a study of the emotions associated with prayer in the Jewish and related literature of the Second Temple period and immediately afterwards - Document Abstract: This collection of essays offers an analysis of central texts in Greek, Hebrew and Aramaic relating to emotions within literary prayers. Their discussions touch upon such diverse topics as relations with God, exegesis, education, prophecy, linguistic expression, feminism, happiness, grief, cult, suicide, non-Jews, Hellenism, Qumran and Jerusalem. The articles contribute to a scientific understanding of early Rabbinic and Christian ideas This collection of essaysoffers ananalysis of central texts in Greek, Hebrew and Aramaic relating to emotions within literary prayers. Their discussions touch upon such diverse topics as relations with God, exegesis, education, prophecy, linguistic expression, feminism, happiness, grief, cult, suicide, non-Jews, Hellenism, Qumran and Jerusalem. The articles contribute to a scientific understanding of early Rabbinic and Christian ideas. Stefan C. Reif, St John's College, University of Cambridge, England;Renate Egger-Wenzel, University of Salzburg, Austria. - Document LIN Search class: ['rel'], ['rest'], ['lit'], ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A861464796.jsonld

Effective debugging : 66 specific ways to debug software and systems

High-level strategies -- General-purpose methods and practices -- General-purpose tools and techniques -- Debugger techniques -- Programming techniques -- Compile-time techniques -- Runtime techniques -- Debugging multi-threaded code

[ "['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: Effective debugging : 66 specific ways to debug software and systems - Document Abstract: High-level strategies -- General-purpose methods and practices -- General-purpose tools and techniques -- Debugger techniques -- Programming techniques -- Compile-time techniques -- Runtime techniques -- Debugging multi-threaded code - 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|>

3A101204145X.jsonld

Photovoltaic science and technology

"Discusses the principles of operation of photovoltaic devices, their limitations, choice of materials and maximum efficiencies"--

[ "['elt']", "['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: Photovoltaic science and technology - Document Abstract: "Discusses the principles of operation of photovoltaic devices, their limitations, choice of materials and maximum efficiencies"-- - Document LIN Search class: ['elt'], ['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|>

3A1048371182.jsonld

Microstates, Entropy and Quanta : An Introduction to Statistical Mechanics

Preface -- 1 Preliminary Ideas of Counting, and Some Useful Mathematics -- 2 Accessible States and the Fundamental Postulate of Statistical Mechanics -- 3 The Laws of Thermodynamics -- 4 The First Law in Detail -- 5 The Non-Isolated System: the Boltzmann Distribution -- 6 The Motion of Gas Particles, and Transport Processes -- 7. Introductory Quantum Statistics -- 8 Fermion Statistics in Metals -- 9 Boson Statistics in Blackbody Radiation -- Index Statistical mechanics: the bane of many a physics student. But when pared back to its underlying concepts and built from the ground up, the field takes on a charm of its own, and embraces a wide variety of physical phenomena. This book presents a straightforward introduction to the key concepts in statistical mechanics, following the popular style of the author's highly successful textbook "Explorations in Mathematical Physics". Offering a clear, conceptual approach to the subject matter, the book presents a treatment that is mathematically complete, while remaining very accessible to undergraduates. It commences by showcasing the counting of configurations, which leads to entropy, thermodynamics, and physical chemistry. The Boltzmann and Maxwell distributions then appear, with related topics of thermal conductivity and viscosity. Next come bosons via Einstein's and Debye's theories of heat capacity, and fermions via electrical conduction and low-temperature heat capacity of metals. The text ends with a derivation of blackbody radiation, and uses this to discuss the greenhouse effect, cosmology, and lasers. Suitable for use with core undergraduate courses in statistical mechanics and thermodynamics, this book concentrates on using solid mathematics, while avoiding cumbersome notation. All mathematical steps are included in the text and worked examples. About the Author Don Koks studied at the University of Auckland in the 1980s, where he obtained a Bachelor of Science in pure and applied mathematics and physics, and a Master of Science in applied accelerator physics. He was awarded a doctorate in quantum cosmology (quantum statistics and black hole theory) by Adelaide University. He works in Australian Defence, specialising in relativistic precision timing, orbital mechanics, spatial orientation concepts, and radar signal processing. Review of Explorations in Mathematical Physics by Don Koks “With enjoyable and sometimes surprising excursions along the way, the journey provides a fresh look at many familiar topics, as it takes us from basic linear mathematics to general relativity.. look forward to having your geometric intuition nourished and expanded by the author’s intelligent commentaries.” Eugen Merzbacher, University of North Carolina

[ "['phy']", "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Microstates, Entropy and Quanta : An Introduction to Statistical Mechanics - Document Abstract: Preface -- 1 Preliminary Ideas of Counting, and Some Useful Mathematics -- 2 Accessible States and the Fundamental Postulate of Statistical Mechanics -- 3 The Laws of Thermodynamics -- 4 The First Law in Detail -- 5 The Non-Isolated System: the Boltzmann Distribution -- 6 The Motion of Gas Particles, and Transport Processes -- 7. Introductory Quantum Statistics -- 8 Fermion Statistics in Metals -- 9 Boson Statistics in Blackbody Radiation -- Index Statistical mechanics: the bane of many a physics student. But when pared back to its underlying concepts and built from the ground up, the field takes on a charm of its own, and embraces a wide variety of physical phenomena. This book presents a straightforward introduction to the key concepts in statistical mechanics, following the popular style of the author's highly successful textbook "Explorations in Mathematical Physics". Offering a clear, conceptual approach to the subject matter, the book presents a treatment that is mathematically complete, while remaining very accessible to undergraduates. It commences by showcasing the counting of configurations, which leads to entropy, thermodynamics, and physical chemistry. The Boltzmann and Maxwell distributions then appear, with related topics of thermal conductivity and viscosity. Next come bosons via Einstein's and Debye's theories of heat capacity, and fermions via electrical conduction and low-temperature heat capacity of metals. The text ends with a derivation of blackbody radiation, and uses this to discuss the greenhouse effect, cosmology, and lasers. Suitable for use with core undergraduate courses in statistical mechanics and thermodynamics, this book concentrates on using solid mathematics, while avoiding cumbersome notation. All mathematical steps are included in the text and worked examples. About the Author Don Koks studied at the University of Auckland in the 1980s, where he obtained a Bachelor of Science in pure and applied mathematics and physics, and a Master of Science in applied accelerator physics. He was awarded a doctorate in quantum cosmology (quantum statistics and black hole theory) by Adelaide University. He works in Australian Defence, specialising in relativistic precision timing, orbital mechanics, spatial orientation concepts, and radar signal processing. Review of Explorations in Mathematical Physics by Don Koks “With enjoyable and sometimes surprising excursions along the way, the journey provides a fresh look at many familiar topics, as it takes us from basic linear mathematics to general relativity.. look forward to having your geometric intuition nourished and expanded by the author’s intelligent commentaries.” Eugen Merzbacher, University of North Carolina - Document LIN Search class: ['phy'], ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1769431187.jsonld

Constitutional Review in the Middle East and North Africa

Ten years after the Arab Spring, many parts of the Middle East and North Africa are struggling with the consequences of armed conflict, a balance of power tilted in favour of the executive and challenges to the rule of law. However, institutions charged with conducting constitutional review have been reformed substantially in most of the countries in those regions. A pioneer effort, this book offers first-hand insights by renowned practitioners and scholars into constitutional review in the Middle East and North Africa, discerning commonalities and differences from a comparative perspective. Structured along selected topics of interdisciplinary relevance—judicial independence, protection of fundamental rights, control of electoral law, and religious law in the constitutional order—the publication highlights the current state of constitutional review in the region: reference models, major develop-ments, challenges and trends. Anja Schoeller-Schletter is a lawyer and historian focusing on comparative constitutional law in North Africa and the Middle East. She designed the project behind this publication in her capacity as the Head of the Rule of Law Programme Middle East/North Africa in Beirut, Lebanon, a programme funded by the Konrad-Adenauer-Stiftung. Verfassungsgerichtsbarkeit und Grundrechtsschutz ist mit dem Arabischen Frühling in zahlreichen Ländern des Nahen Ostens in den Fokus der Reformdebatten gerückt. Überschattet von Schlagzeilen zu militärischen Konflikten wurden tiefgreifende Reformen der letzten Jahrzehnte im Bereich der Verfassungsgerichtsbarkeit bisher wenig beachtet. Als Pionierarbeit auf diesem Gebiet bietet dieses Buch grundlegende Erkenntnisse aus erster Hand zu den Errungenschaften und Herausforderungen der Verfassungsgerichtsbarkeit im Nahen Osten und Nordafrika, wobei Gemeinsamkeiten und Unterschiede innerhalb der Region herausgearbeitet und mit Entwicklungen außerhalb der Region in Verbindung gebracht werden. Gegliedert entlang zentraler Querschnittsthemen – richterliche Unabhängigkeit, Grundrechtsschutz, Wahlrechtskontrolle und Religionsrecht in der Verfassungsordnung – untersucht die Publikation zentrale Entwicklungen der Verfassungskontrolle in der Region, zugrunde liegende Modelle, Herausforderungen und Trends.

[ "['jur']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Constitutional Review in the Middle East and North Africa - Document Abstract: Ten years after the Arab Spring, many parts of the Middle East and North Africa are struggling with the consequences of armed conflict, a balance of power tilted in favour of the executive and challenges to the rule of law. However, institutions charged with conducting constitutional review have been reformed substantially in most of the countries in those regions. A pioneer effort, this book offers first-hand insights by renowned practitioners and scholars into constitutional review in the Middle East and North Africa, discerning commonalities and differences from a comparative perspective. Structured along selected topics of interdisciplinary relevance—judicial independence, protection of fundamental rights, control of electoral law, and religious law in the constitutional order—the publication highlights the current state of constitutional review in the region: reference models, major develop-ments, challenges and trends. Anja Schoeller-Schletter is a lawyer and historian focusing on comparative constitutional law in North Africa and the Middle East. She designed the project behind this publication in her capacity as the Head of the Rule of Law Programme Middle East/North Africa in Beirut, Lebanon, a programme funded by the Konrad-Adenauer-Stiftung. Verfassungsgerichtsbarkeit und Grundrechtsschutz ist mit dem Arabischen Frühling in zahlreichen Ländern des Nahen Ostens in den Fokus der Reformdebatten gerückt. Überschattet von Schlagzeilen zu militärischen Konflikten wurden tiefgreifende Reformen der letzten Jahrzehnte im Bereich der Verfassungsgerichtsbarkeit bisher wenig beachtet. Als Pionierarbeit auf diesem Gebiet bietet dieses Buch grundlegende Erkenntnisse aus erster Hand zu den Errungenschaften und Herausforderungen der Verfassungsgerichtsbarkeit im Nahen Osten und Nordafrika, wobei Gemeinsamkeiten und Unterschiede innerhalb der Region herausgearbeitet und mit Entwicklungen außerhalb der Region in Verbindung gebracht werden. Gegliedert entlang zentraler Querschnittsthemen – richterliche Unabhängigkeit, Grundrechtsschutz, Wahlrechtskontrolle und Religionsrecht in der Verfassungsordnung – untersucht die Publikation zentrale Entwicklungen der Verfassungskontrolle in der Region, zugrunde liegende Modelle, Herausforderungen und Trends. - Document LIN Search class: ['jur'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A181849552X.jsonld

Museum exhibitions and suspense : the use of screenwriting techniques in curatorial practice

"Museum Exhibitions and Suspense takes insights from screenwriting to revolutionise our understanding of exhibition curating. Despite all genuine efforts to reach broader audiences, museums persistently fear to risk their credibility by becoming 'too popular'. Thus, the enormous potential to learn from other storytelling forms, more experienced in the field of entertainment, remains essentially unexploited. Museum Exhibitions and Suspense unlocks this creative potential. A comparative in-depth analysis of three classical Hollywood films and three cultural historical exhibitions demonstrates how dramatic suspense techniques can be applied to exhibitions. These techniques have to be adapted to the typical epic character of the exhibition medium. By differentiating between mild and wild suspense, the book provides a new understanding of the nature of suspense itself. Museum Exhibitions and Suspense addresses academics and students in the fields of museum studies, gallery studies, and heritage studies interested in how exhibitions function and in how to achieve dramaturgical effects like suspense. It also appeals to scholars and students within film studies who want to gain a deeper understanding of suspense. It provides an important resource for curators and other museum practitioners, and scriptwriters who intend to create stories with a wide audience appeal"--

[ "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Museum exhibitions and suspense : the use of screenwriting techniques in curatorial practice - Document Abstract: "Museum Exhibitions and Suspense takes insights from screenwriting to revolutionise our understanding of exhibition curating. Despite all genuine efforts to reach broader audiences, museums persistently fear to risk their credibility by becoming 'too popular'. Thus, the enormous potential to learn from other storytelling forms, more experienced in the field of entertainment, remains essentially unexploited. Museum Exhibitions and Suspense unlocks this creative potential. A comparative in-depth analysis of three classical Hollywood films and three cultural historical exhibitions demonstrates how dramatic suspense techniques can be applied to exhibitions. These techniques have to be adapted to the typical epic character of the exhibition medium. By differentiating between mild and wild suspense, the book provides a new understanding of the nature of suspense itself. Museum Exhibitions and Suspense addresses academics and students in the fields of museum studies, gallery studies, and heritage studies interested in how exhibitions function and in how to achieve dramaturgical effects like suspense. It also appeals to scholars and students within film studies who want to gain a deeper understanding of suspense. It provides an important resource for curators and other museum practitioners, and scriptwriters who intend to create stories with a wide audience appeal"-- - Document LIN Search class: ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A715615491.jsonld

Industrial cutting of textile materials

Introduction to cutting room operations in garment manufacture; Initial preparation and quality control of textile materials in textile cutting operations; Lay planning and marker making in textile cutting operations; Principles and methods of textile spreading; Manual spreading of textile materials; Automated spreading of textile materials; The manual textile cutting process; Manual cutting equipment in textile cutting operations; Automated cutting of textile materials; Placement of equipment in the textile cutting room; Fusing of cut textile components; Final work operations in the cutting process for textiles; Manual marker making, spreading and cutting of striped fabrics; Manual marker making, spreading and cutting of materials with check patterns; Manual marker making, spreading and cutting of fabrics with motif patterns; Manual marker making, spreading and cutting of fabrics with border patterns; Manual marker making, spreading and cutting of narrow lace; Spreading and cutting of fabrics with pile; Problems in spreading and cutting of intricate fabrics and methods to prevent them

[ "['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: Industrial cutting of textile materials - Document Abstract: Introduction to cutting room operations in garment manufacture; Initial preparation and quality control of textile materials in textile cutting operations; Lay planning and marker making in textile cutting operations; Principles and methods of textile spreading; Manual spreading of textile materials; Automated spreading of textile materials; The manual textile cutting process; Manual cutting equipment in textile cutting operations; Automated cutting of textile materials; Placement of equipment in the textile cutting room; Fusing of cut textile components; Final work operations in the cutting process for textiles; Manual marker making, spreading and cutting of striped fabrics; Manual marker making, spreading and cutting of materials with check patterns; Manual marker making, spreading and cutting of fabrics with motif patterns; Manual marker making, spreading and cutting of fabrics with border patterns; Manual marker making, spreading and cutting of narrow lace; Spreading and cutting of fabrics with pile; Problems in spreading and cutting of intricate fabrics and methods to prevent them - 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|>

3A1780378459.jsonld

The Cambridge companion to early American literature

Introduction: Narratives of early America old and new / Bryce Traister -- How to read things that weren't written down in early America / Matt Cohen -- How to read the natural world / Molly Farrell -- How to read early American poetry / Amy Morris -- How to read gender / Laura Stevens -- How to read an early American novel / Marion Rust -- How to read democracy in early America / Dana Nelson -- Accident, disaster, and trauma : shattered in early America / Kathleen Donegan -- Settler kitsch : the legacies of Puritanism in America / Jonathan Beecher Field -- Like a prayer : the anti-slavery petition in the era of revolution / Paul Downes -- Varieties of bondage in the early Atlantic / Ramesh Mallipeddi -- The erotics of early America / Sandra Slater -- Indigenous colonial America / Caroline Wigginton -- Colonial Latin America / Allison Bigelow -- The colonial Pacific / Michelle Burnham -- Caribbean America / Cassander Smith. "Most communications are not written down. This is as true now, in a supposedly information-saturated age, as it was in early colonial America. The point stands even if we understand the Western notion of "writing" with a generously broad interpretation, as including all forms of inscribed human communication. Some of what was transmitted among people of the past, consequently, we have to leave to the void or to the imagination-the uncountable facial expressions; the furtive gestures; a thousand accents; the qualities of colors; the taste of a 1628 Madeira; the movements of an Inca khipucamayoc at work. For others, we have well-elaborated historical frameworks and methods of recovery. In the fields of art history and architecture, historical performance in music and dance, theatre history, material culture studies, and ethnobotany, for example, ways to read much of the uninscribed have been maintained and extended. And there are other domains in which the unwritten of the past has been vectored into the present, including Indigenous communities across the Americas, the church, women's communities, annual festivals from New Orleans to Rio de Janeiro, and scholarly institutions, with their many rituals and forms"--

[ "['his']", "['lit']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Cambridge companion to early American literature - Document Abstract: Introduction: Narratives of early America old and new / Bryce Traister -- How to read things that weren't written down in early America / Matt Cohen -- How to read the natural world / Molly Farrell -- How to read early American poetry / Amy Morris -- How to read gender / Laura Stevens -- How to read an early American novel / Marion Rust -- How to read democracy in early America / Dana Nelson -- Accident, disaster, and trauma : shattered in early America / Kathleen Donegan -- Settler kitsch : the legacies of Puritanism in America / Jonathan Beecher Field -- Like a prayer : the anti-slavery petition in the era of revolution / Paul Downes -- Varieties of bondage in the early Atlantic / Ramesh Mallipeddi -- The erotics of early America / Sandra Slater -- Indigenous colonial America / Caroline Wigginton -- Colonial Latin America / Allison Bigelow -- The colonial Pacific / Michelle Burnham -- Caribbean America / Cassander Smith. "Most communications are not written down. This is as true now, in a supposedly information-saturated age, as it was in early colonial America. The point stands even if we understand the Western notion of "writing" with a generously broad interpretation, as including all forms of inscribed human communication. Some of what was transmitted among people of the past, consequently, we have to leave to the void or to the imagination-the uncountable facial expressions; the furtive gestures; a thousand accents; the qualities of colors; the taste of a 1628 Madeira; the movements of an Inca khipucamayoc at work. For others, we have well-elaborated historical frameworks and methods of recovery. In the fields of art history and architecture, historical performance in music and dance, theatre history, material culture studies, and ethnobotany, for example, ways to read much of the uninscribed have been maintained and extended. And there are other domains in which the unwritten of the past has been vectored into the present, including Indigenous communities across the Americas, the church, women's communities, annual festivals from New Orleans to Rio de Janeiro, and scholarly institutions, with their many rituals and forms"-- - Document LIN Search class: ['his'], ['lit'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1652252304.jsonld

Agroecology

This book represents an interdisciplinary approach to the relevant aspects of agricultural production related to the interactions between natural processes, human activities and the environment. It provides condensed and comprehensive knowledge on the functions of various agroecosystems at the field, landscape and global scale. Understanding and integrating complex ecological processes into field production, land management and food systems is essential in order to deal with the challenges of modern crop and livestock production: the need for food security for the growing human population, and

[ "['hor']", "['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: Agroecology - Document Abstract: This book represents an interdisciplinary approach to the relevant aspects of agricultural production related to the interactions between natural processes, human activities and the environment. It provides condensed and comprehensive knowledge on the functions of various agroecosystems at the field, landscape and global scale. Understanding and integrating complex ecological processes into field production, land management and food systems is essential in order to deal with the challenges of modern crop and livestock production: the need for food security for the growing human population, and - Document LIN Search class: ['hor'], ['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|>

3A1805269445.jsonld

Teaching Central American literature in a global context

Introduction / Gloria Elizabeth Chacón and Mónica Albizúrez Gil -- Locating Central American literature. Central America in two negatives / Jorge E. Cuéllar -- Gómez Carrillo's early writings: cosmopolitan desire and impressionistic criticism / Margarita Hernández de Polaczyk -- Contradictions and ambivalence of the Nicaraguan vanguardistas / Verónica Ríos Quesada -- Visual technologies and understanding Central America. Reading Central America through Google Maps and the novels of Horacio Castellanos Moya / Alberto Fonseca -- A cinema not in ruins: gender and history in two Nicaraguan short films / Aarón Lacayo -- Conceptualizing and problematizing space: Central American literature and culture in the Isthmus / Karina Zelaya and Brian Davisson -- Peace and reconciliation: decoding belonging in Guatemalan photography / Julio Quintero -- Many Central Americas: approaches to the films Ixcanul and El Regreso / Ignacio Carvajal Regidor, María Paz Carvajal Regidor, Marta Carvajal-Regidor, and Mónica Carvajal Regidor -- Mayan literatures beyond the local. The Popol Wuj and Central American literature: narratives of resistance and cultural continuity / Néstor I. Quiroa -- Teaching Indigenous literatures comparatively / Arturo Arias -- Gaspar Pedro González's Return of the Maya in the age of family separation at the border / Patricia Arroyo Calderón -- Introducing Mayan poetry from Central America in a Canadian context / Rita M. Palacios -- Black and Jewish literatures from the Isthmus. Black power in Central American writing / Jennifer Carolina Gómez Menjívar -- Black Central American literature and Quince Duncan / Sonja Stephenson Watson -- Jewish Guatemalan fiction in a global context/ Stephanie Pridgeon -- Representations of violence. Disaffection, alienation, and survival in the literature of postwar Central America / Nanci Buiza -- Learning from senselessness: the act of reading in Horacio Castellanos Moya's Insensatez / Sophie Esch -- Performing violence: Regina José Galindo and Guatemala / M. Emilia Barbosa -- Teaching Central American and US Central American texts in universities and in prisons / Nancy Quintanilla -- Toward epistemic justice: an intersectional approach to teaching trans-Central American literature / Mauricio Espinoza and Miroslava Arely Rosales Vásquez -- Diasporas, memory, and deterritorialization. Reading the Northern Triangle as a gendered literary space / Ana Patricia Rodríguez -- Migration and diaspora: Central American literature beyond the Isthmus / Tamara L. Mitchell -- Rethinking refugeeness in diasporic documentaries / Guadalupe Escobar -- Documenting the Salvadoran diaspora: countering the Central American threat narrative / Ester N. Trujillo -- Environmental and social justice. Environmental humanities approaches to Central American texts in undergraduate curricula / Laura Barbas-Rhoden -- #BertaVive: teaching environmental justice through Central American culture / Carolyn Fornoff -- Learning about Archbishop Óscar Romero in the special collections archives / Susana S. Martínez -- War, human experience, and nature in Central American literature / Tatiana Argüello. "Provides approaches and methods for teaching Central American literature, film, and photography, including works by Indigenous and Afro-descendant people, in undergraduate classrooms. Topics include migration, political violence, diaspora, intersectionality, environmental humanities, war, gender, teaching in prisons, using maps in teaching, Black Power, race, Jewish fiction, and Mayan literature"--

[ "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Teaching Central American literature in a global context - Document Abstract: Introduction / Gloria Elizabeth Chacón and Mónica Albizúrez Gil -- Locating Central American literature. Central America in two negatives / Jorge E. Cuéllar -- Gómez Carrillo's early writings: cosmopolitan desire and impressionistic criticism / Margarita Hernández de Polaczyk -- Contradictions and ambivalence of the Nicaraguan vanguardistas / Verónica Ríos Quesada -- Visual technologies and understanding Central America. Reading Central America through Google Maps and the novels of Horacio Castellanos Moya / Alberto Fonseca -- A cinema not in ruins: gender and history in two Nicaraguan short films / Aarón Lacayo -- Conceptualizing and problematizing space: Central American literature and culture in the Isthmus / Karina Zelaya and Brian Davisson -- Peace and reconciliation: decoding belonging in Guatemalan photography / Julio Quintero -- Many Central Americas: approaches to the films Ixcanul and El Regreso / Ignacio Carvajal Regidor, María Paz Carvajal Regidor, Marta Carvajal-Regidor, and Mónica Carvajal Regidor -- Mayan literatures beyond the local. The Popol Wuj and Central American literature: narratives of resistance and cultural continuity / Néstor I. Quiroa -- Teaching Indigenous literatures comparatively / Arturo Arias -- Gaspar Pedro González's Return of the Maya in the age of family separation at the border / Patricia Arroyo Calderón -- Introducing Mayan poetry from Central America in a Canadian context / Rita M. Palacios -- Black and Jewish literatures from the Isthmus. Black power in Central American writing / Jennifer Carolina Gómez Menjívar -- Black Central American literature and Quince Duncan / Sonja Stephenson Watson -- Jewish Guatemalan fiction in a global context/ Stephanie Pridgeon -- Representations of violence. Disaffection, alienation, and survival in the literature of postwar Central America / Nanci Buiza -- Learning from senselessness: the act of reading in Horacio Castellanos Moya's Insensatez / Sophie Esch -- Performing violence: Regina José Galindo and Guatemala / M. Emilia Barbosa -- Teaching Central American and US Central American texts in universities and in prisons / Nancy Quintanilla -- Toward epistemic justice: an intersectional approach to teaching trans-Central American literature / Mauricio Espinoza and Miroslava Arely Rosales Vásquez -- Diasporas, memory, and deterritorialization. Reading the Northern Triangle as a gendered literary space / Ana Patricia Rodríguez -- Migration and diaspora: Central American literature beyond the Isthmus / Tamara L. Mitchell -- Rethinking refugeeness in diasporic documentaries / Guadalupe Escobar -- Documenting the Salvadoran diaspora: countering the Central American threat narrative / Ester N. Trujillo -- Environmental and social justice. Environmental humanities approaches to Central American texts in undergraduate curricula / Laura Barbas-Rhoden -- #BertaVive: teaching environmental justice through Central American culture / Carolyn Fornoff -- Learning about Archbishop Óscar Romero in the special collections archives / Susana S. Martínez -- War, human experience, and nature in Central American literature / Tatiana Argüello. "Provides approaches and methods for teaching Central American literature, film, and photography, including works by Indigenous and Afro-descendant people, in undergraduate classrooms. Topics include migration, political violence, diaspora, intersectionality, environmental humanities, war, gender, teaching in prisons, using maps in teaching, Black Power, race, Jewish fiction, and Mayan literature"-- - Document LIN Search class: ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A663687853.jsonld

Getting by in Europe's urban labor markets : Senegambian migrants' strategies for survival, documentation and mobility

This book examines two major social changes experienced by European cities in the last two decades: post-industrial economic restructuring and new immigration flows. The link between both has been extensively discussed throughout a variety of theoretical approaches and in numerous descriptive contributions. Adding to those studies, this research focuses on three elements of migratory experience that have been relatively neglected thus far: a dynamic view of changes over time, the influence of national welfare and legislation frameworks, and the importance of support mechanisms outside the labour market. The material underpinning the arguments is the qualitative life-course analysis of 81 in-depth interviews with Senegambian migrants living in Antwerp and Barcelona

[ "['sow']", "['geo']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Getting by in Europe's urban labor markets : Senegambian migrants' strategies for survival, documentation and mobility - Document Abstract: This book examines two major social changes experienced by European cities in the last two decades: post-industrial economic restructuring and new immigration flows. The link between both has been extensively discussed throughout a variety of theoretical approaches and in numerous descriptive contributions. Adding to those studies, this research focuses on three elements of migratory experience that have been relatively neglected thus far: a dynamic view of changes over time, the influence of national welfare and legislation frameworks, and the importance of support mechanisms outside the labour market. The material underpinning the arguments is the qualitative life-course analysis of 81 in-depth interviews with Senegambian migrants living in Antwerp and Barcelona - Document LIN Search class: ['sow'], ['geo'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A176721541X.jsonld

The quantum internet : the second quantum revolution

"Following the emergence of quantum computing, the subsequent quantum revolution will be that of interconnecting individual quantum computers at the global level. In the same way that classical computers only realised their full potential with the emergence of the internet, a fully-realised quantum internet is the next stage of evolution for quantum computation. This cutting-edge book examines in detail how the quantum internet would evolve in practise, focusing not only on the technology itself, but also the implications it will have economically and politically, with numerous non-technical sections throughout the text providing broader context to the discussion. The book begins with a description of classical networks before introducing the key concepts behind quantum networks, such as quantum internet protocols, quantum cryptography, and cloud quantum computing. Written in an engaging style and accessible to graduate students in physics, engineering, computer science and mathematics"--

[ "['inf']", "['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: The quantum internet : the second quantum revolution - Document Abstract: "Following the emergence of quantum computing, the subsequent quantum revolution will be that of interconnecting individual quantum computers at the global level. In the same way that classical computers only realised their full potential with the emergence of the internet, a fully-realised quantum internet is the next stage of evolution for quantum computation. This cutting-edge book examines in detail how the quantum internet would evolve in practise, focusing not only on the technology itself, but also the implications it will have economically and politically, with numerous non-technical sections throughout the text providing broader context to the discussion. The book begins with a description of classical networks before introducing the key concepts behind quantum networks, such as quantum internet protocols, quantum cryptography, and cloud quantum computing. Written in an engaging style and accessible to graduate students in physics, engineering, computer science and mathematics"-- - Document LIN Search class: ['inf'], ['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|>

3A376904569.jsonld

Massive Change

Includes transcripts of interviews with: Philip Ball, Janine Benyus, Stewart Brand, Stephen Browne, Carol Burns, James Der Derian, Bill Drayton, Gwynne Dyer, Freeman Dyson, Ian Foster, Felice Frankel, Robert Freling, Ashok Gadgil, Catherine Gray, Hazel Henderson, Dean Kamen, Arthur Kroker, Robert S. Langer, Jaime Lerner, Lawrence Lessig, David Malin, Michael McDonough, William McDonough, Seymour Melman, Nancy Padian, Matt Ridley, Jeffrey Sachs, Richard Smalley, Hernando de Soto, Bruce Sterling and Eugene Thacker

[ "['lit']", "['lin']", "['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: Massive Change - Document Abstract: Includes transcripts of interviews with: Philip Ball, Janine Benyus, Stewart Brand, Stephen Browne, Carol Burns, James Der Derian, Bill Drayton, Gwynne Dyer, Freeman Dyson, Ian Foster, Felice Frankel, Robert Freling, Ashok Gadgil, Catherine Gray, Hazel Henderson, Dean Kamen, Arthur Kroker, Robert S. Langer, Jaime Lerner, Lawrence Lessig, David Malin, Michael McDonough, William McDonough, Seymour Melman, Nancy Padian, Matt Ridley, Jeffrey Sachs, Richard Smalley, Hernando de Soto, Bruce Sterling and Eugene Thacker - Document LIN Search class: ['lit'], ['lin'], ['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|>

3A1667779060.jsonld

The new Jewish American literary studies

The opening decades of the twenty-first century are distinguished by a newly framed and regenerated outlook of Jewish American literary studies. This volume introduces readers to the new perspectives, new approaches, and widening of interpretive possibilities in Jewish American literature accompanied by the changes of the new millennium. Now that we are over a decade into a new century, the field of Jewish American literary studies has begun to reshape itself in response to a 'new diaspora', a newly defined sense not only of Jewish American literature, but of America, an expansion of new genres, new voices, and new platforms of expression. This book re-evaluates questions of race, feminism, gender, sexuality, orthodoxy, assimilation, identity politics, and historical alienation that shape Jewish American literary studies. Several chapters show the influence of other cultures on the field such as Iranian-American-Jewish writing, Israeli-American, and Latin American literary expression, as well as the impact of Russian emigres.

[ "['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: The new Jewish American literary studies - Document Abstract: The opening decades of the twenty-first century are distinguished by a newly framed and regenerated outlook of Jewish American literary studies. This volume introduces readers to the new perspectives, new approaches, and widening of interpretive possibilities in Jewish American literature accompanied by the changes of the new millennium. Now that we are over a decade into a new century, the field of Jewish American literary studies has begun to reshape itself in response to a 'new diaspora', a newly defined sense not only of Jewish American literature, but of America, an expansion of new genres, new voices, and new platforms of expression. This book re-evaluates questions of race, feminism, gender, sexuality, orthodoxy, assimilation, identity politics, and historical alienation that shape Jewish American literary studies. Several chapters show the influence of other cultures on the field such as Iranian-American-Jewish writing, Israeli-American, and Latin American literary expression, as well as the impact of Russian emigres. - 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|>

3A875862918.jsonld

One-Volume Libraries: Composite and Multiple-Text Manuscripts

Composite and multiple-text manuscripts are traditionally studied for their individual texts, but recent trends in codicology have paved the way for a more comprehensive approach: Manuscripts are unique artefacts which reveal how they were produced and used as physical objects. While multiple-text manuscripts codicologically are to be considered as production units, i.e. they were originally planned and realized in order to carry more than one text, composites consist of formerly independent codicological units and were put together at a later stage with intentions that might be completely different from those of its original parts. Both sub-types of manuscripts are still sometimes called "miscellanies", a term relating to the texts only. The codicological difference is important for reconstructing why and how these manuscripts which in many cases resemble (or contain) a small library were produced and used. Contributions on the manuscript cultures of China, India, Africa, the Islamic world and European traditions lead not only to the conclusion that "one-volume libraries" have been produced in many manuscript cultures, but allow also for the identification of certain types of uses.

[ "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: One-Volume Libraries: Composite and Multiple-Text Manuscripts - Document Abstract: Composite and multiple-text manuscripts are traditionally studied for their individual texts, but recent trends in codicology have paved the way for a more comprehensive approach: Manuscripts are unique artefacts which reveal how they were produced and used as physical objects. While multiple-text manuscripts codicologically are to be considered as production units, i.e. they were originally planned and realized in order to carry more than one text, composites consist of formerly independent codicological units and were put together at a later stage with intentions that might be completely different from those of its original parts. Both sub-types of manuscripts are still sometimes called "miscellanies", a term relating to the texts only. The codicological difference is important for reconstructing why and how these manuscripts which in many cases resemble (or contain) a small library were produced and used. Contributions on the manuscript cultures of China, India, Africa, the Islamic world and European traditions lead not only to the conclusion that "one-volume libraries" have been produced in many manuscript cultures, but allow also for the identification of certain types of uses. - Document LIN Search class: ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A524967490.jsonld

Video Object Extraction and Representation : Theory and Applications

to Content-Based Visual Processing -- Existing Techniques of Visual Processing -- Voronoi Ordered Space -- A System for Video Object Segmentation -- Robust Representation of Shape with DAGs -- A System for Image/Video Object Query by Shape -- The Future of Content-Based Video Processing. “If you have built castles in the air, your work need not be lost; that is where they should be. Now put the foundations under them. ” - Henry David Thoreau, Walden Although engineering is a study entrenched firmly in belief of pr- matism, I have always believed its impact need not be limited to pr- matism. Pragmatism is not the boundaries that define engineering, just the (sometimes unforgiving) rules by which we sight our goals. This book studies two major problems of content-based video proce- ing for a media-based technology: Video Object Plane (VOP) Extr- tion and Representation, in support of the MPEG-4 and MPEG-7 video standards, respectively. After reviewing relevant image and video p- cessing techniques, we introduce the concept of Voronoi Ordered Spaces for both VOP extraction and representation to integrate shape infor- tion into low-level optimization algorithms and to derive robust shape descriptors, respectively. We implement a video object segmentation system with a novel surface optimization scheme that integrates Voronoi Ordered Spaces with existing techniques to balance visual information against predictions of models of a priori information. With these VOPs, we have explicit forms of video objects that give users the ability to - dress and manipulate video content. We outline a general methodology of robust data representation and comparison through the concept of complex partitioning mapped onto Directed Acyclic Graphs (DAGs).

[ "['inf']", "['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: Video Object Extraction and Representation : Theory and Applications - Document Abstract: to Content-Based Visual Processing -- Existing Techniques of Visual Processing -- Voronoi Ordered Space -- A System for Video Object Segmentation -- Robust Representation of Shape with DAGs -- A System for Image/Video Object Query by Shape -- The Future of Content-Based Video Processing. “If you have built castles in the air, your work need not be lost; that is where they should be. Now put the foundations under them. ” - Henry David Thoreau, Walden Although engineering is a study entrenched firmly in belief of pr- matism, I have always believed its impact need not be limited to pr- matism. Pragmatism is not the boundaries that define engineering, just the (sometimes unforgiving) rules by which we sight our goals. This book studies two major problems of content-based video proce- ing for a media-based technology: Video Object Plane (VOP) Extr- tion and Representation, in support of the MPEG-4 and MPEG-7 video standards, respectively. After reviewing relevant image and video p- cessing techniques, we introduce the concept of Voronoi Ordered Spaces for both VOP extraction and representation to integrate shape infor- tion into low-level optimization algorithms and to derive robust shape descriptors, respectively. We implement a video object segmentation system with a novel surface optimization scheme that integrates Voronoi Ordered Spaces with existing techniques to balance visual information against predictions of models of a priori information. With these VOPs, we have explicit forms of video objects that give users the ability to - dress and manipulate video content. We outline a general methodology of robust data representation and comparison through the concept of complex partitioning mapped onto Directed Acyclic Graphs (DAGs). - Document LIN Search class: ['inf'], ['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|>

3A1742311792.jsonld

Conversations with Lorraine Hansberry

"Spanning from the debut of A Raisin in the Sun on Broadway in 1959 to her early death from cancer in January 1965, Lorraine Hansberry's short stint in the public eye changed the landscape of American theater. With A Raisin in the Sun, Hansberry (1930-1965) became both the first African American woman to have a play produced on Broadway and the first to win the prestigious New York Drama Critics' Circle Award. Resonating deeply with the aims of the civil rights movement, Raisin also ushered in a new era of black representation on the stage and screen, displacing the cartoonish stereotypes that were the remnants of blackface minstrelsy in favor of complex three-dimensional portrayals of black characters and black life. Hansberry's public discourse in the aftermath of Raisin's success also disrupted mainstream critical tendencies to diminish the work of black artists, helping pave the way for future work by black playwrights. Conversations with Lorraine Hansberry is the first volume to collect all of her substantive interviews in one place, including many radio and television interviews that have never before appeared in print. The twenty-one interviews collected here-ranging from just before the Broadway premier of A Raisin in the Sun to less than six months before Hansberry's death-offer an incredible window into Hansberry's aesthetic and political thought. In these conversations, Hansberry explores many of the questions most often put to black writers of the mid-twentieth century-including everything from her thinking about the relationship between art and protest, universality and particularity, and realism and naturalism, to her sense of the relationship between black intellectuals and the black masses, integration and Black Nationalism, and African American and Pan-African liberation. Taken together, these interviews reveal the insight, intensity, and eloquence that made Hansberry such a transformative figure in American letters"--

[ "['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: Conversations with Lorraine Hansberry - Document Abstract: "Spanning from the debut of A Raisin in the Sun on Broadway in 1959 to her early death from cancer in January 1965, Lorraine Hansberry's short stint in the public eye changed the landscape of American theater. With A Raisin in the Sun, Hansberry (1930-1965) became both the first African American woman to have a play produced on Broadway and the first to win the prestigious New York Drama Critics' Circle Award. Resonating deeply with the aims of the civil rights movement, Raisin also ushered in a new era of black representation on the stage and screen, displacing the cartoonish stereotypes that were the remnants of blackface minstrelsy in favor of complex three-dimensional portrayals of black characters and black life. Hansberry's public discourse in the aftermath of Raisin's success also disrupted mainstream critical tendencies to diminish the work of black artists, helping pave the way for future work by black playwrights. Conversations with Lorraine Hansberry is the first volume to collect all of her substantive interviews in one place, including many radio and television interviews that have never before appeared in print. The twenty-one interviews collected here-ranging from just before the Broadway premier of A Raisin in the Sun to less than six months before Hansberry's death-offer an incredible window into Hansberry's aesthetic and political thought. In these conversations, Hansberry explores many of the questions most often put to black writers of the mid-twentieth century-including everything from her thinking about the relationship between art and protest, universality and particularity, and realism and naturalism, to her sense of the relationship between black intellectuals and the black masses, integration and Black Nationalism, and African American and Pan-African liberation. Taken together, these interviews reveal the insight, intensity, and eloquence that made Hansberry such a transformative figure in American letters"-- - 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|>

3A1879440199.jsonld

Corporate governance in Russia

Given the past decade of abuse of shareholder rights, corporate governance is essential for Russia's future. In this comprehensive volume, an international group of contributors - academics, corporate executives, government officials, policymakers, specialists from nongovernmental organizations, and legal experts - examine the crucial role of corporate governance as well as the external institutions and forces that affect it. Offering coverage from numerous perspectives, the contributors explore external and institutional influences on corporate governance, its workings within corporations, and the relationships between boards of directors, managers, shareholders, and the government. Case studies of three major companies illustrate the challenges and opportunities involved in creating sound practices. The concluding section provides a summary of the current situation and discusses implications for the future of Russia's corporate governance. A valuable source of information, Corporate Governance in Russia is a must-read for business people, government officials, academic researchers, students, and all those interested in Russia and what the future holds

[ "['oek']", "['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: Corporate governance in Russia - Document Abstract: Given the past decade of abuse of shareholder rights, corporate governance is essential for Russia's future. In this comprehensive volume, an international group of contributors - academics, corporate executives, government officials, policymakers, specialists from nongovernmental organizations, and legal experts - examine the crucial role of corporate governance as well as the external institutions and forces that affect it. Offering coverage from numerous perspectives, the contributors explore external and institutional influences on corporate governance, its workings within corporations, and the relationships between boards of directors, managers, shareholders, and the government. Case studies of three major companies illustrate the challenges and opportunities involved in creating sound practices. The concluding section provides a summary of the current situation and discusses implications for the future of Russia's corporate governance. A valuable source of information, Corporate Governance in Russia is a must-read for business people, government officials, academic researchers, students, and all those interested in Russia and what the future holds - Document LIN Search class: ['oek'], ['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|>

3A1665677961.jsonld

Virtue ethics in the conduct and governance of social science research

This collection focuses on virtue theory and the ethics of social science research. A moral philosophy that has been relatively neglected in the domain of research ethics, virtue ethics has much to offer those who wish to go beyond the difficulties generated by the biomedical model of research ethics and positively engage with the ethics of social scientific research. As the chapters contained in this volume show, the perspective provided by virtue ethics also exhibits a certain affinity with the emerging discourse regarding research integrity. Contributors develop various facets of virtue ethics in order to illuminate a range of issues in the practice and governance of social science, including integrity, the ethics of ethical review, ethics education, and the notion of phronesis (wisdom).

[ "['phi']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Virtue ethics in the conduct and governance of social science research - Document Abstract: This collection focuses on virtue theory and the ethics of social science research. A moral philosophy that has been relatively neglected in the domain of research ethics, virtue ethics has much to offer those who wish to go beyond the difficulties generated by the biomedical model of research ethics and positively engage with the ethics of social scientific research. As the chapters contained in this volume show, the perspective provided by virtue ethics also exhibits a certain affinity with the emerging discourse regarding research integrity. Contributors develop various facets of virtue ethics in order to illuminate a range of issues in the practice and governance of social science, including integrity, the ethics of ethical review, ethics education, and the notion of phronesis (wisdom). - Document LIN Search class: ['phi'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A654967008.jsonld

Chemosensors : principles, strategies, and applications

"This book offers a general overview of chemosensors and their applications, including topics like molecular recognition, detection methods, design strategies, and important biological issues"--

[ "['tec']", "['che']", "['cet']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Chemosensors : principles, strategies, and applications - Document Abstract: "This book offers a general overview of chemosensors and their applications, including topics like molecular recognition, detection methods, design strategies, and important biological issues"-- - Document LIN Search class: ['tec'], ['che'], ['cet'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A485612550.jsonld

Growing & marketing ginseng, goldenseal & other woodland medicinals

"Practical advice for cultivating woodland botanicals for personal use, cash crops, landscape plants, or medicinals. Covers the history, production, uses, and marketing of fourteen forest herbs: American ginseng, bethroot, black cohosh, bloodroot, blue cohosh, false unicorn, galax, goldenseal, mayapple, pinkroot, ramps, spikenard, wild ginger, and wild indigo. Fully illustrated"--Provided by publisher

[ "['hor']", "['bio']", "['spo']", "['meda']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Growing & marketing ginseng, goldenseal & other woodland medicinals - Document Abstract: "Practical advice for cultivating woodland botanicals for personal use, cash crops, landscape plants, or medicinals. Covers the history, production, uses, and marketing of fourteen forest herbs: American ginseng, bethroot, black cohosh, bloodroot, blue cohosh, false unicorn, galax, goldenseal, mayapple, pinkroot, ramps, spikenard, wild ginger, and wild indigo. Fully illustrated"--Provided by publisher - Document LIN Search class: ['hor'], ['bio'], ['spo'], ['meda'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A545663768.jsonld

Optimization of structural and mechanical systems

"Computational optimization methods have matured over the last few years due to extensive research by applied mathematicians and engineers. These methods have been applied to many practical applications. Several general-purpose optimization programs and programs for specific engineering applications have become available to solve particular optimization problems. Written by leading researchers in the field of optimization, this highly readable book covers state-of-the-art computational algorithms as well as applications of optimization to structural and mechanical systems. Formulations of the problems and numerical solutions are presented, and topics requiring further research are also suggested"--P. [4] of cover

[ "['mat']", "['tec']", "['phy']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Optimization of structural and mechanical systems - Document Abstract: "Computational optimization methods have matured over the last few years due to extensive research by applied mathematicians and engineers. These methods have been applied to many practical applications. Several general-purpose optimization programs and programs for specific engineering applications have become available to solve particular optimization problems. Written by leading researchers in the field of optimization, this highly readable book covers state-of-the-art computational algorithms as well as applications of optimization to structural and mechanical systems. Formulations of the problems and numerical solutions are presented, and topics requiring further research are also suggested"--P. [4] of cover - Document LIN Search class: ['mat'], ['tec'], ['phy'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A549342044.jsonld

The art of being in-between : native intermediaries, Indian identity, and local rule in colonial Oaxaca

"Loyal vassal," "seditious subject," and other performances -- "Idolaters and rebels," "good and faithful Indians" : the Cajonos rebellion and after -- Reform, resistance, and rhetoric -- The pact : cacique and cabildo -- Bourbon officials -- From "Indian conquerors" to local "Indians

[ "['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 art of being in-between : native intermediaries, Indian identity, and local rule in colonial Oaxaca - Document Abstract: "Loyal vassal," "seditious subject," and other performances -- "Idolaters and rebels," "good and faithful Indians" : the Cajonos rebellion and after -- Reform, resistance, and rhetoric -- The pact : cacique and cabildo -- Bourbon officials -- From "Indian conquerors" to local "Indians - 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|>

3A1000128040.jsonld

Storyworld possible selves

Real selves in fictional worlds -- The objectification and subjectification of storyworld -- Building an SPS blend -- Properties and typology -- SPS shifting and narrative ethics "This volume presents an analytical tool for the study of the simultaneous idiosyncrasy and commonality of narrative experiencing. The concept of storyworld possible selves is an application of blending theory to the linguistic and literary analysis of emotional responses to narratives and of perspectival alignment with fictional entities"--

[ "['lit']", "['lin']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Storyworld possible selves - Document Abstract: Real selves in fictional worlds -- The objectification and subjectification of storyworld -- Building an SPS blend -- Properties and typology -- SPS shifting and narrative ethics "This volume presents an analytical tool for the study of the simultaneous idiosyncrasy and commonality of narrative experiencing. The concept of storyworld possible selves is an application of blending theory to the linguistic and literary analysis of emotional responses to narratives and of perspectival alignment with fictional entities"-- - Document LIN Search class: ['lit'], ['lin'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A847120651.jsonld

Marketing : an introduction

Defining marketing and the marketing process -- Marketing : creating and capturing customer value -- Company and marketing strategy : partnering to build customer value and relationships -- Understanding the marketplace and customer value -- Analyzing the marketing environment -- Managing marketing information to gain customer insights -- Understanding consumer and business buyer behavior -- Designing a customer value/driven strategy and mix -- Customer-driven marketing strategy : creating value for target customers -- Products, services, and brands : building customer value -- New product development and product life-cycle strategies -- Pricing : understanding and capturing customer value -- Marketing channels : delivering customer value -- Retailing and wholesaling -- Engaging consumers and communicating customer value : advertising and public relations -- Personal selling and sales promotion -- Direct, online, social media, and mobile marketing -- Extending marketing -- The global marketplace -- Sustainable marketing: social responsibility and ethics -- Appendix 1 company cases -- Appendix 2 marketing plan -- Appendix 3 marketing by the numbers -- Glossary -- References -- Index

[ "['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: Marketing : an introduction - Document Abstract: Defining marketing and the marketing process -- Marketing : creating and capturing customer value -- Company and marketing strategy : partnering to build customer value and relationships -- Understanding the marketplace and customer value -- Analyzing the marketing environment -- Managing marketing information to gain customer insights -- Understanding consumer and business buyer behavior -- Designing a customer value/driven strategy and mix -- Customer-driven marketing strategy : creating value for target customers -- Products, services, and brands : building customer value -- New product development and product life-cycle strategies -- Pricing : understanding and capturing customer value -- Marketing channels : delivering customer value -- Retailing and wholesaling -- Engaging consumers and communicating customer value : advertising and public relations -- Personal selling and sales promotion -- Direct, online, social media, and mobile marketing -- Extending marketing -- The global marketplace -- Sustainable marketing: social responsibility and ethics -- Appendix 1 company cases -- Appendix 2 marketing plan -- Appendix 3 marketing by the numbers -- Glossary -- References -- Index - 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|>

3A82141593X.jsonld

The simplicity cycle : a field guide to making things better without making them worse

"The award-winning engineer, Air Force lieutenant colonel, and author of F.I.R.E offers a road map for designing winning new products, services, and business models, and shows how to avoid complexity-related pitfalls in the process. With a foreword by design guru Don Norman.Humans make things every day, whether it's composing an e-mail, cooking a meal, or constructing the Mars Rover. While complexity is often necessary in the development process, unnecessary complexity adds complications. The Simplicity Cycle provides the secret to striking the proper balance. Dan Ward shines a light on how complexity affects the things we make for good or ill, taking us on a journey through the process of making things, with a particular focus on identifying and avoiding complexity-related pitfalls.The standard development process involves increasing complexity to improve the outcome, Ward explains. The problem comes when the complexity starts getting in the way--but often we don't know where that point is until we pass it. He suggests a number of techniques for identifying the problem and fixing it, including how to overcome several types of wrongheaded thinking--such as the idea that complexity and quality are the same. In clear, compelling language, and using his trademark mix of examples from research, personal experience, and pop culture, Ward offers a universal concept, visually described with a single, evolving diagram.Ideal for business leaders and technologists, The Simplicity Cycle is helpful for anyone looking to simplify and improve everything we do, whether we work in an office, at home, or at the Pentagon"-- "The Simplicity Cycle provides readers with a roadmap for designing winning new products, services, and business models and shows them how to avoid complexity-related pitfalls in the process"--

[ "['tec']", "['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: The simplicity cycle : a field guide to making things better without making them worse - Document Abstract: "The award-winning engineer, Air Force lieutenant colonel, and author of F.I.R.E offers a road map for designing winning new products, services, and business models, and shows how to avoid complexity-related pitfalls in the process. With a foreword by design guru Don Norman.Humans make things every day, whether it's composing an e-mail, cooking a meal, or constructing the Mars Rover. While complexity is often necessary in the development process, unnecessary complexity adds complications. The Simplicity Cycle provides the secret to striking the proper balance. Dan Ward shines a light on how complexity affects the things we make for good or ill, taking us on a journey through the process of making things, with a particular focus on identifying and avoiding complexity-related pitfalls.The standard development process involves increasing complexity to improve the outcome, Ward explains. The problem comes when the complexity starts getting in the way--but often we don't know where that point is until we pass it. He suggests a number of techniques for identifying the problem and fixing it, including how to overcome several types of wrongheaded thinking--such as the idea that complexity and quality are the same. In clear, compelling language, and using his trademark mix of examples from research, personal experience, and pop culture, Ward offers a universal concept, visually described with a single, evolving diagram.Ideal for business leaders and technologists, The Simplicity Cycle is helpful for anyone looking to simplify and improve everything we do, whether we work in an office, at home, or at the Pentagon"-- "The Simplicity Cycle provides readers with a roadmap for designing winning new products, services, and business models and shows them how to avoid complexity-related pitfalls in the process"-- - Document LIN Search class: ['tec'], ['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|>

3A608582662.jsonld

Applications in ecological engineering : [a derivative of Encyclopedia of ecology]

Basic theory for the development and application of ecological engineering -- Use of natural and semi-natural ecosystems to solve environmental problems -- Restoration of ecosystems -- Constructed ecosystem : imitation of nature -- Application of ecological principles in environmental management

[ "['bau']", "['cet']", "['tec']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Applications in ecological engineering : [a derivative of Encyclopedia of ecology] - Document Abstract: Basic theory for the development and application of ecological engineering -- Use of natural and semi-natural ecosystems to solve environmental problems -- Restoration of ecosystems -- Constructed ecosystem : imitation of nature -- Application of ecological principles in environmental management - Document LIN Search class: ['bau'], ['cet'], ['tec'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1612392563.jsonld

The collected poems of Dylan Thomas

"This new edition of his poems ... commemerates the centenary of Thomas's birth. WIth recently discovered material and accessible critique, it looks at his body of work in a fresh light."--Book jacket

[ "['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: The collected poems of Dylan Thomas - Document Abstract: "This new edition of his poems ... commemerates the centenary of Thomas's birth. WIth recently discovered material and accessible critique, it looks at his body of work in a fresh light."--Book jacket - 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|>

3A78599856X.jsonld

Microwave de-embedding : from theory to applications

This book is the first to give an introduction to microwave de-embedding, showing how it is the cornerstone for waveform engineering. The authors of each chapter clearly explain the theoretical concepts, providing a foundation that supports linear and non-linear measurements, modelling and circuit design. Recent developments and future trends in the field are covered throughout, including successful strategies for low-noise and power amplifier design. This book is a must-have for those wishing to understand the full potential of the microwave de-embedding concept to achieve successful results in the areas of measurements, modelling, and design at high frequencies. With this book you will learn: The theoretical background of high-frequency de-embedding for measurements, modelling, and design. Details on applying the de-embedding concept to the transistor's linear, non-linear, and noise behaviour. The impact of de-embedding on low-noise and power amplifier design. The recent advances and future trends in the field of high-frequency de-embedding. Presents the theory and practice of microwave de-embedding, from the basic principles to recent advances and future trends. Written by experts in the field, all of whom are leading researchers in the area. Each chapter describes theoretical background and gives experimental results and practical applications

[ "['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: Microwave de-embedding : from theory to applications - Document Abstract: This book is the first to give an introduction to microwave de-embedding, showing how it is the cornerstone for waveform engineering. The authors of each chapter clearly explain the theoretical concepts, providing a foundation that supports linear and non-linear measurements, modelling and circuit design. Recent developments and future trends in the field are covered throughout, including successful strategies for low-noise and power amplifier design. This book is a must-have for those wishing to understand the full potential of the microwave de-embedding concept to achieve successful results in the areas of measurements, modelling, and design at high frequencies. With this book you will learn: The theoretical background of high-frequency de-embedding for measurements, modelling, and design. Details on applying the de-embedding concept to the transistor's linear, non-linear, and noise behaviour. The impact of de-embedding on low-noise and power amplifier design. The recent advances and future trends in the field of high-frequency de-embedding. Presents the theory and practice of microwave de-embedding, from the basic principles to recent advances and future trends. Written by experts in the field, all of whom are leading researchers in the area. Each chapter describes theoretical background and gives experimental results and practical applications - Document LIN Search class: ['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|>

3A1747655287.jsonld

Under Pressure: The Squeezed Middle Class

Middle-class households feel left behind and have questioned the benefits of economic globalisation. In many OECD countries, middle incomes have grown less than the average and in some they have not grown at all. Technology has automated several middle-skilled jobs that used to be carried out by middle-class workers a few decades ago. The costs of some goods and services such as housing, which are essential for a middle-class lifestyle, have risen faster than earnings and overall inflation. Faced with this, middle classes have reduced their ability to save and in some cases have fallen into debt. This report sheds light on the multiple pressures on the middle class. It analyses the trends of middle-income households through dimensions such as labour occupation, consumption, wealth and debt, as well as perceptions and social attitudes. It also discusses policy initiatives to address the concerns raised by the middle class, by protecting middle-class living standards and financial security in the face of economic challenges.

[ "['oek']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Under Pressure: The Squeezed Middle Class - Document Abstract: Middle-class households feel left behind and have questioned the benefits of economic globalisation. In many OECD countries, middle incomes have grown less than the average and in some they have not grown at all. Technology has automated several middle-skilled jobs that used to be carried out by middle-class workers a few decades ago. The costs of some goods and services such as housing, which are essential for a middle-class lifestyle, have risen faster than earnings and overall inflation. Faced with this, middle classes have reduced their ability to save and in some cases have fallen into debt. This report sheds light on the multiple pressures on the middle class. It analyses the trends of middle-income households through dimensions such as labour occupation, consumption, wealth and debt, as well as perceptions and social attitudes. It also discusses policy initiatives to address the concerns raised by the middle class, by protecting middle-class living standards and financial security in the face of economic challenges. - Document LIN Search class: ['oek'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1784524921.jsonld

Karl Kosík and the dialectics of the concrete

"Karel Kosík (1926-2003) was one of the most remarkable Czech Marxist philosophers of the twentieth century. His reputation as a creative thinker is owed largely to his philosophical 'blockbuster' Dialectics of the Concrete, first published in Czechoslovakia in 1963. In reintroducing Kosík's philosophy to English-speaking readers, we show that Kosík's work is important not only as a leading intellectual document of the Prague Spring, but also as an original theoretical contribution with international impact that sheds light on the meaning of labour and praxis, democracy and economic structure, dialectics and the crises of modernity"-- Introduction / Joseph Grim Feinberg, Ivan Landa, Jan Mervart -- Karel Kosík as a public intellectual of the reform years / Jan Mervart -- Karel Kosík and his 'radical democrats' : the Janus face of Dialectics of the concrete : moving from a historical to a systematic approach to philosophy / Tomáš Hermann -- Praxis in progress : on the transformations of Kosík's thought / Francesco Tava -- Labour and time : Karel Kosík's temporal materialism / Ivan Landa -- Inception of culture from the ontology of labour : the original contribution of Karel Kosík to a Marxian theory of culture / Ian Angus -- 'The philosophy of labour' and Karel Kosík's criticism of 'care' / Siyaves Azeri -- Kosík, Lukács and the thing in itself / Tom Rockmore -- the ontological dialectic and the critique of modernity : based on the interpretation of Kosík's concrete totality / Xinruo Zhang and Xiaohan Huang -- And the 'thing itself' is man : radical democracy and the roots of humanity / Joseph Grim Feinberg -- The Dialectic of concrete totality in the age of globalisation : Karel Kosík's Dialectics of the concrete fifty years later / Anselm K. Min -- Kosík's notion of 'positivism' / Tomáš Hříbek -- Kosík's concept of 'concrete totality' : a structuralist critique / Vít Bartoš -- The world of the pseudoconcrete, ideology and the theory of the subject (Kosík and Althusser) / Petr Kužel -- Karel Kosík and Martin Heidegger : from Marxism to traditionalism / Jan Černý -- A route of critical thought : between Italian and Czech intellectuals / Gabriella Fusi -- Karel Kosík in Mexico : Adolfo Sánchez Vázquez and the Dialectics of the concrete / Diana Fuentes -- Karel Kosík and US Marxist humanism / Peter Hudis -- Postscript : looking backwards -- Spirit of resistance : note for an intellectual biography of Karel Kosík / Michael Löwy.

[ "['phi']", "['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: Karl Kosík and the dialectics of the concrete - Document Abstract: "Karel Kosík (1926-2003) was one of the most remarkable Czech Marxist philosophers of the twentieth century. His reputation as a creative thinker is owed largely to his philosophical 'blockbuster' Dialectics of the Concrete, first published in Czechoslovakia in 1963. In reintroducing Kosík's philosophy to English-speaking readers, we show that Kosík's work is important not only as a leading intellectual document of the Prague Spring, but also as an original theoretical contribution with international impact that sheds light on the meaning of labour and praxis, democracy and economic structure, dialectics and the crises of modernity"-- Introduction / Joseph Grim Feinberg, Ivan Landa, Jan Mervart -- Karel Kosík as a public intellectual of the reform years / Jan Mervart -- Karel Kosík and his 'radical democrats' : the Janus face of Dialectics of the concrete : moving from a historical to a systematic approach to philosophy / Tomáš Hermann -- Praxis in progress : on the transformations of Kosík's thought / Francesco Tava -- Labour and time : Karel Kosík's temporal materialism / Ivan Landa -- Inception of culture from the ontology of labour : the original contribution of Karel Kosík to a Marxian theory of culture / Ian Angus -- 'The philosophy of labour' and Karel Kosík's criticism of 'care' / Siyaves Azeri -- Kosík, Lukács and the thing in itself / Tom Rockmore -- the ontological dialectic and the critique of modernity : based on the interpretation of Kosík's concrete totality / Xinruo Zhang and Xiaohan Huang -- And the 'thing itself' is man : radical democracy and the roots of humanity / Joseph Grim Feinberg -- The Dialectic of concrete totality in the age of globalisation : Karel Kosík's Dialectics of the concrete fifty years later / Anselm K. Min -- Kosík's notion of 'positivism' / Tomáš Hříbek -- Kosík's concept of 'concrete totality' : a structuralist critique / Vít Bartoš -- The world of the pseudoconcrete, ideology and the theory of the subject (Kosík and Althusser) / Petr Kužel -- Karel Kosík and Martin Heidegger : from Marxism to traditionalism / Jan Černý -- A route of critical thought : between Italian and Czech intellectuals / Gabriella Fusi -- Karel Kosík in Mexico : Adolfo Sánchez Vázquez and the Dialectics of the concrete / Diana Fuentes -- Karel Kosík and US Marxist humanism / Peter Hudis -- Postscript : looking backwards -- Spirit of resistance : note for an intellectual biography of Karel Kosík / Michael Löwy. - Document LIN Search class: ['phi'], ['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|>

3A161531511X.jsonld

Narrative architecture

In architecture, narrative prioritises human experiences and the need to shape them into stories. It places the emphasis on a building's meaning rather than performance. To architects, the enduring attraction of narrative is that it offers a way of engaging with the way a city feels and works. Rather than reducing architecture to a mere style or an overt emphasis on technology, it foregrounds how buildings are experienced. Since the early 1980s, many architects have used the term 'narrative' to describe their work. Nigel Coates was at the forefront of this movement as one of the founders of NATO (Narrative Architecture Today) at the Architectural Association in London. During the late 1980s and early 1990s, he spearheaded narrative practice in the commercial world with designs for fashion retail, bars and nightclubs in London, Tokyo and Istanbul. Retailers, restaurant owners and event organisers, keen to talk to their customers in new ways, soon followed suit, adopting a narrative approach. In this book, Coates explores the potential for narrative as a way of interpreting buildings from ancient history through to the present. It features architects as diverse as William Kent, Antoni Gaudí, Eero Saarinen, Ettore Sottsass, Superstudio, Rem Koolhaas and FAT. It provides an overview of the work of NATO and Coates, as well as chapters on other contemporary designers. In so doing it signposts narrative's significance as a design approach that can aid architecture to remain relevant in this complex, multidisciplinary and multi-everything age

[ "['bau']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Narrative architecture - Document Abstract: In architecture, narrative prioritises human experiences and the need to shape them into stories. It places the emphasis on a building's meaning rather than performance. To architects, the enduring attraction of narrative is that it offers a way of engaging with the way a city feels and works. Rather than reducing architecture to a mere style or an overt emphasis on technology, it foregrounds how buildings are experienced. Since the early 1980s, many architects have used the term 'narrative' to describe their work. Nigel Coates was at the forefront of this movement as one of the founders of NATO (Narrative Architecture Today) at the Architectural Association in London. During the late 1980s and early 1990s, he spearheaded narrative practice in the commercial world with designs for fashion retail, bars and nightclubs in London, Tokyo and Istanbul. Retailers, restaurant owners and event organisers, keen to talk to their customers in new ways, soon followed suit, adopting a narrative approach. In this book, Coates explores the potential for narrative as a way of interpreting buildings from ancient history through to the present. It features architects as diverse as William Kent, Antoni Gaudí, Eero Saarinen, Ettore Sottsass, Superstudio, Rem Koolhaas and FAT. It provides an overview of the work of NATO and Coates, as well as chapters on other contemporary designers. In so doing it signposts narrative's significance as a design approach that can aid architecture to remain relevant in this complex, multidisciplinary and multi-everything age - Document LIN Search class: ['bau'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1621533026.jsonld

Building to suit the climate : a handbook

"A manual for integrated planning in the international context. It helps architects and engineers to plan buildings, particularly at the conceptual stage, by offering a comprehensive analysis of the interplay between climate, the building structure and the building envelope, and also of building services engineering and the energy concept"--P. [4] of cover

[ "['bau']", "['geo']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Building to suit the climate : a handbook - Document Abstract: "A manual for integrated planning in the international context. It helps architects and engineers to plan buildings, particularly at the conceptual stage, by offering a comprehensive analysis of the interplay between climate, the building structure and the building envelope, and also of building services engineering and the energy concept"--P. [4] of cover - Document LIN Search class: ['bau'], ['geo'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1773890859.jsonld

Digital Radio Systems on a Chip : A Systems Approach

Digital Communication Systems -- Spread-spectrum Communications -- RF System Design -- Radio System Design -- Digital Radio Architecture -- RF Circuits Design -- Digital Transceiver Design -- Case Studies. This book focuses on a specific engineering problem that is and will continue to be important in the forth-coming information age: namely, the need for highly integrated radio systems that can be embedded in wireless devices for various applications, including portable mobile multimedia wireless communications, wireless appliances, digital cellular, and digital cordless. Traditionally, the design of radio IC’s involves a team of engineers trained in a wide range of fields that include networking, communication systems, radio propagation, digital/analog circuits, RF circuits, and process technology. However as radio IC’s become more integrated, the need for a diverse skill set and knowledge becomes essential for professionals as well as students to broaden beyond their trained area of expertise and to become proficient in related areas. The key to designing an optimized, economical solution for radio systems on a chip hinges on the designer’s thorough understanding of the complex trade-offs from communication systems down to circuits. To acquire the insight and understanding of the complex system and circuit trade-offs, a designer must digest volumes of books covering diverse topics, such as communications theory, radio propagation, and digital/analog/RF circuits. While books are available today that cover the individual areas, they tend to be narrowly focused and do not provide the necessary insight in the specific problem of integrating a complete radio system on a chip.

[ "['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: Digital Radio Systems on a Chip : A Systems Approach - Document Abstract: Digital Communication Systems -- Spread-spectrum Communications -- RF System Design -- Radio System Design -- Digital Radio Architecture -- RF Circuits Design -- Digital Transceiver Design -- Case Studies. This book focuses on a specific engineering problem that is and will continue to be important in the forth-coming information age: namely, the need for highly integrated radio systems that can be embedded in wireless devices for various applications, including portable mobile multimedia wireless communications, wireless appliances, digital cellular, and digital cordless. Traditionally, the design of radio IC’s involves a team of engineers trained in a wide range of fields that include networking, communication systems, radio propagation, digital/analog circuits, RF circuits, and process technology. However as radio IC’s become more integrated, the need for a diverse skill set and knowledge becomes essential for professionals as well as students to broaden beyond their trained area of expertise and to become proficient in related areas. The key to designing an optimized, economical solution for radio systems on a chip hinges on the designer’s thorough understanding of the complex trade-offs from communication systems down to circuits. To acquire the insight and understanding of the complex system and circuit trade-offs, a designer must digest volumes of books covering diverse topics, such as communications theory, radio propagation, and digital/analog/RF circuits. While books are available today that cover the individual areas, they tend to be narrowly focused and do not provide the necessary insight in the specific problem of integrating a complete radio system on a chip. - Document LIN Search class: ['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|>

3A865399352.jsonld

Empathy

Some historical preliminaries -- Some conceptual preliminaries -- Empathy as simulation -- A priori and a posteriori empathy -- Re-enacting the thoughts of others -- Empathy and the emotions -- Empathy and ethics -- Empathy and aesthetics

[ "['pae']", "['phi']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Empathy - Document Abstract: Some historical preliminaries -- Some conceptual preliminaries -- Empathy as simulation -- A priori and a posteriori empathy -- Re-enacting the thoughts of others -- Empathy and the emotions -- Empathy and ethics -- Empathy and aesthetics - Document LIN Search class: ['pae'], ['phi'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1613064128.jsonld

Graphs and cubes

Graphs -- Bipartite graphs -- Cubes -- Cubical graphs -- Partial cubes -- Lattice embeddings -- Hyperplane arrangements -- Token systems

[ "['inf']", "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Graphs and cubes - Document Abstract: Graphs -- Bipartite graphs -- Cubes -- Cubical graphs -- Partial cubes -- Lattice embeddings -- Hyperplane arrangements -- Token systems - Document LIN Search class: ['inf'], ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A883332272.jsonld

The universal structure of categories : towards a formal typology

Using data from a variety of languages such as Blackfoot, Halkomelem, and Upper Austrian German, this book explores a range of grammatical categories and constructions, including tense, aspect, subjunctive, case and demonstratives. It presents a new theory of grammatical categories - the Universal Spine Hypothesis - and reinforces generative notions of Universal Grammar while accommodating insights from linguistic typology. In essence, this new theory shows that language-specific categories are built from a small set of universal categories and language-specific units of language. Throughout the book the Universal Spine Hypothesis is compared to two alternative theories - the Universal Base Hypothesis and the No Base Hypothesis. This valuable addition to the field will be welcomed by graduate students and researchers in linguistics. The universal structure of categories -- A history of ideas behind the spine -- The universal spine as a heuristic for the identification of grammatical categories -- Anchoring categories in independent clauses -- Anchoring categories in dependent clauses -- Nominal anchoring categories -- Categories that introduce a point of view -- Towards a formal typology

[ "['lin']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The universal structure of categories : towards a formal typology - Document Abstract: Using data from a variety of languages such as Blackfoot, Halkomelem, and Upper Austrian German, this book explores a range of grammatical categories and constructions, including tense, aspect, subjunctive, case and demonstratives. It presents a new theory of grammatical categories - the Universal Spine Hypothesis - and reinforces generative notions of Universal Grammar while accommodating insights from linguistic typology. In essence, this new theory shows that language-specific categories are built from a small set of universal categories and language-specific units of language. Throughout the book the Universal Spine Hypothesis is compared to two alternative theories - the Universal Base Hypothesis and the No Base Hypothesis. This valuable addition to the field will be welcomed by graduate students and researchers in linguistics. The universal structure of categories -- A history of ideas behind the spine -- The universal spine as a heuristic for the identification of grammatical categories -- Anchoring categories in independent clauses -- Anchoring categories in dependent clauses -- Nominal anchoring categories -- Categories that introduce a point of view -- Towards a formal typology - Document LIN Search class: ['lin'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A818940476.jsonld

Highlights in mineralogical crystallography

The power of databases: the RRUFF project / Barbara Lafuente, R.T. Downs, H. Yang, and N. Stone -- Structural complexity of minerals and mineral parageneses: information and its evolution in the mineral world / Sergey V. Krivovichev -- Ab initio simulations of mineral surfaces: recent advances in numerical methods and selected applications / Sergey V. Churakov -- Natural quasicrystals: a new frontier in mineralogy and its impact on our understanding of matter and the origin of the solar system / Luca Bindi and Paul J. Steinhardt -- Ringwoodite: its importance in earth sciences / Fabrizio Nestola -- Investigation of bio-related minerals by electron-diffraction tomography: vaterite, dental hydroxyapatite, and crystalline nanorods in sponge primmorphs -- Mayenite Ca₁₂Al₁₄O₃₂[X²⁻]: from minerals to the first stable electride crystals / Frank Gfeller ""Highlights in Mineralogical Crystallography" presents a collection of review articles with the common topic: structural properties of minerals and synthetic analogues. It is a valuable resource for mineralogists, materials scientists, crystallographers, and earth scientists. This book includes: An introduction to the RRUFF database for structural, spectroscopic, and chemical mineral identification. A systematic evaluation of structural complexity of minerals. ab initio computer modelling of mineral surfaces. Natural quasicrystals of meteoritic origin. The potential role of terrestrial ringwoodite on the water content of the Earth's mantle. Structural characterization of nanocrystalline bio-related minerals by electron-diffraction tomography. The uniqueness of mayenite-type compounds as minerals and high-tech ceramics"--

[ "['geo']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Highlights in mineralogical crystallography - Document Abstract: The power of databases: the RRUFF project / Barbara Lafuente, R.T. Downs, H. Yang, and N. Stone -- Structural complexity of minerals and mineral parageneses: information and its evolution in the mineral world / Sergey V. Krivovichev -- Ab initio simulations of mineral surfaces: recent advances in numerical methods and selected applications / Sergey V. Churakov -- Natural quasicrystals: a new frontier in mineralogy and its impact on our understanding of matter and the origin of the solar system / Luca Bindi and Paul J. Steinhardt -- Ringwoodite: its importance in earth sciences / Fabrizio Nestola -- Investigation of bio-related minerals by electron-diffraction tomography: vaterite, dental hydroxyapatite, and crystalline nanorods in sponge primmorphs -- Mayenite Ca₁₂Al₁₄O₃₂[X²⁻]: from minerals to the first stable electride crystals / Frank Gfeller ""Highlights in Mineralogical Crystallography" presents a collection of review articles with the common topic: structural properties of minerals and synthetic analogues. It is a valuable resource for mineralogists, materials scientists, crystallographers, and earth scientists. This book includes: An introduction to the RRUFF database for structural, spectroscopic, and chemical mineral identification. A systematic evaluation of structural complexity of minerals. ab initio computer modelling of mineral surfaces. Natural quasicrystals of meteoritic origin. The potential role of terrestrial ringwoodite on the water content of the Earth's mantle. Structural characterization of nanocrystalline bio-related minerals by electron-diffraction tomography. The uniqueness of mayenite-type compounds as minerals and high-tech ceramics"-- - Document LIN Search class: ['geo'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A643584366.jsonld

EMBOSS user's guide : practical bioinformatics

"The European Molecular Biology Open Software Suite (EMBOSS) is a high quality, well documented package of open source software tools for molecular biology. It includes over 200 applications for molecular sequence analysis and other common tasks in bioinformatics. It integrates the core applications with a range of popular third party software packages under a consistent and powerful command line interface. The software has many useful features; for example, it automatically copes with data in a variety of formats and allows for transparent retrieval of sequence data from the web"--

[ "['bio']", "['mat']", "['inf']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: EMBOSS user's guide : practical bioinformatics - Document Abstract: "The European Molecular Biology Open Software Suite (EMBOSS) is a high quality, well documented package of open source software tools for molecular biology. It includes over 200 applications for molecular sequence analysis and other common tasks in bioinformatics. It integrates the core applications with a range of popular third party software packages under a consistent and powerful command line interface. The software has many useful features; for example, it automatically copes with data in a variety of formats and allows for transparent retrieval of sequence data from the web"-- - Document LIN Search class: ['bio'], ['mat'], ['inf'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1796330779.jsonld

The Oxford handbook of Central American history

"Central America is a region defined primarily by its geographical configuration as a canal-friendly isthmus, and its three-century history as the Spanish Kingdom of Guatemala. Having gained independence in 1821, the Kingdom broke up into the nations of Guatemala, Honduras, El Salvador, Nicaragua and Costa Rica after two turbulent decades as a federated republic. Political instability and violence, poverty and inequality, ethnic strife, military rule, and a historic economic dependence on the export of coffee and bananas marked the region's history. Owing both to its isthmian geography and habitual political strife, Central America became the most frequent target of US government intervention. Intense US political, economic and military action both preceded and accompanied the revolutionary civil wars of the 1970s and '80s. Devastating in their human costs, they delivered modest political reforms but world-record levels of criminal violence tied to drug trafficking. With British Honduras' independence from Great Britain in 1981 as Belize, and the acquisition by Panama of full sovereignty over its territory in 1999, Central America increasingly defined itself as region of seven countries. The Oxford Handbook of Central American History offers critical analyses of major themes in the historiography of this seven-nation region of Latin America. Essays written by leading scholars of Central America engage both the neophyte's search for basic orientation and context, and the experienced scholar's interest in evaluative critiques of the historical literature. Individual chapters interpret the histories of each of the seven countries, but most focus on themes that cut across national boundaries, beginning with the history of the region's extraordinarily diverse natural environment, and continuing with the indigenous peoples, the Spanish conquest and colonial rule, and the independence process. Other chapters interpret economic history, US relations, the armed forces, the Cold War, religion and literature, illuminating Central America's regional coherence within Latin America while emphasizing its diversity within and across national boundaries"--

[ "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The Oxford handbook of Central American history - Document Abstract: "Central America is a region defined primarily by its geographical configuration as a canal-friendly isthmus, and its three-century history as the Spanish Kingdom of Guatemala. Having gained independence in 1821, the Kingdom broke up into the nations of Guatemala, Honduras, El Salvador, Nicaragua and Costa Rica after two turbulent decades as a federated republic. Political instability and violence, poverty and inequality, ethnic strife, military rule, and a historic economic dependence on the export of coffee and bananas marked the region's history. Owing both to its isthmian geography and habitual political strife, Central America became the most frequent target of US government intervention. Intense US political, economic and military action both preceded and accompanied the revolutionary civil wars of the 1970s and '80s. Devastating in their human costs, they delivered modest political reforms but world-record levels of criminal violence tied to drug trafficking. With British Honduras' independence from Great Britain in 1981 as Belize, and the acquisition by Panama of full sovereignty over its territory in 1999, Central America increasingly defined itself as region of seven countries. The Oxford Handbook of Central American History offers critical analyses of major themes in the historiography of this seven-nation region of Latin America. Essays written by leading scholars of Central America engage both the neophyte's search for basic orientation and context, and the experienced scholar's interest in evaluative critiques of the historical literature. Individual chapters interpret the histories of each of the seven countries, but most focus on themes that cut across national boundaries, beginning with the history of the region's extraordinarily diverse natural environment, and continuing with the indigenous peoples, the Spanish conquest and colonial rule, and the independence process. Other chapters interpret economic history, US relations, the armed forces, the Cold War, religion and literature, illuminating Central America's regional coherence within Latin America while emphasizing its diversity within and across national boundaries"-- - Document LIN Search class: ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A54323231X.jsonld

The misuse of information systems : the impact of security countermeasures

Introduction -- IS security, IS misuse, and security countermeasures -- A deterrence-based model of security countermeasure effectiveness -- IS misuse in the workplace -- Security countermeasures as deterrents to IS misuse -- Discussion, implications, and conclusions -- References -- Appendix A: IS misuse scenarios -- Appendix B: Survey items -- Appendix C: Data analysis for MBA and industry samples -- Appendix D: Hypotheses tests for MBA and industry samples -- Index

[ "['tec']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The misuse of information systems : the impact of security countermeasures - Document Abstract: Introduction -- IS security, IS misuse, and security countermeasures -- A deterrence-based model of security countermeasure effectiveness -- IS misuse in the workplace -- Security countermeasures as deterrents to IS misuse -- Discussion, implications, and conclusions -- References -- Appendix A: IS misuse scenarios -- Appendix B: Survey items -- Appendix C: Data analysis for MBA and industry samples -- Appendix D: Hypotheses tests for MBA and industry samples -- Index - Document LIN Search class: ['tec'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A696955849.jsonld

Reconstructing identities in higher education : the rise of "third space" professionals

"Drawing on studies conducted in Australia, the United Kingdom and the United States, this book focuses on a growing number of staff who undertake roles associated with broadly based projects that have emerged in higher education institutions, including student life and welfare, widening participation, learning support, community partnership, research and business partnership, and institutional research. At the same time as professional staff are acquiring academic credentials, some academic staff are moving in a more project-oriented direction, effectively creating a Third Space between professional and academic spheres of activity. Associated with these changes, the concept of service has become re-oriented towards one of partnership between professional and academic colleagues, students and external agencies. Furthermore, although hierarchical line relationships continue to exist, these may be less significant in day-to-day working than lateral networks, and individuals may identify more closely with projects and teams than with formal organisational structures. Yet such developments have tended to occur 'under the radar', and have not been fully articulated. The concept of Third Space is offered as a way of exploring the emergence of less boundaried roles and identities in higher education community, and of considering the implications of these for individuals and institution"-- "Intellectual leadership in Higher Education draws on studies conducted in Australia, the United Kingdom and the United States, this book focuses on the growing number of staff who undertake roles associated with broadly based projects that are emerging in higher education institutions. These include aspects such as student life and welfare, widening participation, learning support, community partnership, research and business partnership, and institutional research. Some academic staff are moving in a increasingy project-oriented direction, effectively creating a Third Space between professional and academic spheres of activity. Associated with these changes, the concept of service has become re-oriented towards one of partnership between professional and academic colleagues, students and external agencies. Lateral networks are becoming more significant than traditional linear relationships, and individuals may identify more closely with projects and teams than with formal organisational structures. The concept of Third Space is offered as a way of exploring the emergence of less boundaried roles and identities in higher education community, and of considering the implications of these for individuals and institutions. This book explores the significance of relationships as a key variable in Third Space environments and looks into the development and use of appropriate forms of language to facilitate communication between a range of constituencies. Importantly, it recognises the paradoxes and dilemmas that are likely to arise in Third Space, and how these might be used in positive ways. The book is split into three sections which look at: Literary understandings about professional and academic identities and an introduction to the concept of Third Space. The characteristics of Third Space professionals, including the knowledges, relationships, legitimacies and languages that they create. The implications for individuals and institutions of the developments described, and their possible futures in management and leadership. Intellectual leadership in Higher Education will be of great interest to professional and academic staff who find themselves working in Third Space environments; to those to whom such staff may be responsible, including senior management teams; and also to academic researchers interested in changing identities in higher education"--

[ "['sow']", "['pae']", "['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: Reconstructing identities in higher education : the rise of "third space" professionals - Document Abstract: "Drawing on studies conducted in Australia, the United Kingdom and the United States, this book focuses on a growing number of staff who undertake roles associated with broadly based projects that have emerged in higher education institutions, including student life and welfare, widening participation, learning support, community partnership, research and business partnership, and institutional research. At the same time as professional staff are acquiring academic credentials, some academic staff are moving in a more project-oriented direction, effectively creating a Third Space between professional and academic spheres of activity. Associated with these changes, the concept of service has become re-oriented towards one of partnership between professional and academic colleagues, students and external agencies. Furthermore, although hierarchical line relationships continue to exist, these may be less significant in day-to-day working than lateral networks, and individuals may identify more closely with projects and teams than with formal organisational structures. Yet such developments have tended to occur 'under the radar', and have not been fully articulated. The concept of Third Space is offered as a way of exploring the emergence of less boundaried roles and identities in higher education community, and of considering the implications of these for individuals and institution"-- "Intellectual leadership in Higher Education draws on studies conducted in Australia, the United Kingdom and the United States, this book focuses on the growing number of staff who undertake roles associated with broadly based projects that are emerging in higher education institutions. These include aspects such as student life and welfare, widening participation, learning support, community partnership, research and business partnership, and institutional research. Some academic staff are moving in a increasingy project-oriented direction, effectively creating a Third Space between professional and academic spheres of activity. Associated with these changes, the concept of service has become re-oriented towards one of partnership between professional and academic colleagues, students and external agencies. Lateral networks are becoming more significant than traditional linear relationships, and individuals may identify more closely with projects and teams than with formal organisational structures. The concept of Third Space is offered as a way of exploring the emergence of less boundaried roles and identities in higher education community, and of considering the implications of these for individuals and institutions. This book explores the significance of relationships as a key variable in Third Space environments and looks into the development and use of appropriate forms of language to facilitate communication between a range of constituencies. Importantly, it recognises the paradoxes and dilemmas that are likely to arise in Third Space, and how these might be used in positive ways. The book is split into three sections which look at: Literary understandings about professional and academic identities and an introduction to the concept of Third Space. The characteristics of Third Space professionals, including the knowledges, relationships, legitimacies and languages that they create. The implications for individuals and institutions of the developments described, and their possible futures in management and leadership. Intellectual leadership in Higher Education will be of great interest to professional and academic staff who find themselves working in Third Space environments; to those to whom such staff may be responsible, including senior management teams; and also to academic researchers interested in changing identities in higher education"-- - Document LIN Search class: ['sow'], ['pae'], ['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|>

3A1625854048.jsonld

Revolution without revolutionaries : making sense of the Arab Spring

The revolutionary wave that swept the Middle East in 2011 was marked by spectacular mobilization, spreading within and between countries with extraordinary speed. Several years on, however, it has caused limited shifts in structures of power, leaving much of the old political and social order intact. In this book, noted author Asef Bayat-whose Life as Politics anticipated the Arab Spring-uncovers why this occurred, and what made these uprisings so distinct from those that came before. This is both a history of the Arab Spring and a history of revolution writ broadly. Setting the 2011 uprisings side by side with the revolutions of the 1970s, particularly the Iranian Revolution, Bayat reveals a profound global shift in the nature of protest: as acceptance of neoliberal policy has spread, radical revolutionary impulses have diminished. Protestors call for reform rather than fundamental transformation. By tracing the contours and illuminating the meaning of the 2011 uprisings, Bayat gives us the book needed to explain and understand our post-Arab Spring world

[ "['sow']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Revolution without revolutionaries : making sense of the Arab Spring - Document Abstract: The revolutionary wave that swept the Middle East in 2011 was marked by spectacular mobilization, spreading within and between countries with extraordinary speed. Several years on, however, it has caused limited shifts in structures of power, leaving much of the old political and social order intact. In this book, noted author Asef Bayat-whose Life as Politics anticipated the Arab Spring-uncovers why this occurred, and what made these uprisings so distinct from those that came before. This is both a history of the Arab Spring and a history of revolution writ broadly. Setting the 2011 uprisings side by side with the revolutions of the 1970s, particularly the Iranian Revolution, Bayat reveals a profound global shift in the nature of protest: as acceptance of neoliberal policy has spread, radical revolutionary impulses have diminished. Protestors call for reform rather than fundamental transformation. By tracing the contours and illuminating the meaning of the 2011 uprisings, Bayat gives us the book needed to explain and understand our post-Arab Spring world - Document LIN Search class: ['sow'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A773467920.jsonld

Introduction to management

Part 1. Management principles and functions -- Introduction to management -- Management theory -- Planning -- Organising -- Leading -- Controlling -- Decision making -- Part 2. Managing people and communication -- Human resource management -- Motivation and communications -- Managing groups and teams -- Part 3. Management and organisations -- Organisational structure -- Organisational culture -- Ethics and corporate social resposibility -- Part 4. Managing strategy, change, and innovation -- Strategic management -- Marketing -- Change management and innovation

[ "['oek']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Introduction to management - Document Abstract: Part 1. Management principles and functions -- Introduction to management -- Management theory -- Planning -- Organising -- Leading -- Controlling -- Decision making -- Part 2. Managing people and communication -- Human resource management -- Motivation and communications -- Managing groups and teams -- Part 3. Management and organisations -- Organisational structure -- Organisational culture -- Ethics and corporate social resposibility -- Part 4. Managing strategy, change, and innovation -- Strategic management -- Marketing -- Change management and innovation - Document LIN Search class: ['oek'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1602711488.jsonld

Polymer adhesion, friction, and lubrication

Fundamentals of surface adhesion, friction, and lubrication / Ali Faghihnejad and Hongbo Zeng -- Adhesion and tribological characteristics of ion-containing polymer brushes prepared by controlled radical polymerization / Motoyasu Kobayashi, Tatsuya Ishikawa, and Atsushi Takahara -- Lubrication and wear protection of natural (bio)systems / George W. Greene ... [et al.] -- Polymer brushes and surface forces / Jacob Klein ... [et al.] -- Adhesion, wetting, and superhydrophobicity of polymeric surfaces / Mehdi Mortazavi and Michael Nosonovsky -- Marine bioadhesion on polymer surfaces and strategies for its prevention / Sitaraman Krishnan -- Molecular engineering of peptides for cellular adhesion control / Won Hyuk Suh, Badriprasad Ananthanarayanan, and Matthew Tirrell -- A microcosm of wet adhesion : dissecting protein interactions in mussel attachment plaques / Dong Soo Hwang ... [et al.] -- Gecko-inspired polymer adhesives / Yiægit Mengèuðc and Metin Sitti -- Adhesion and friction mechanisms of polymer surfaces and thin films / Hongbo Zeng -- Recent advances in rubber friction in the context of tire traction / Xiao-Dong Pan -- Polymers, adhesion, and paper materials / Boxin Zhao, Dhamodaran Arunbabu, and Brendan McDonald -- Carbohydrates and their roles in biological recognition processes / Keshwaree Babooram and Ravin Narain -- The impact of bacterial surface polymers on bacterial adhesion / Yang Liu -- Adhesion, friction, and lubrication of polymeric nanoparticles and their applications / Bassem Kheireddin, Ming Zhang, and Mustafa Akbulut -- Electrorheological and magnetorheological materials and mechanical properties / Yu Tian, Yonggang Meng, and Shizhu Wen

[ "['fer']", "['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: Polymer adhesion, friction, and lubrication - Document Abstract: Fundamentals of surface adhesion, friction, and lubrication / Ali Faghihnejad and Hongbo Zeng -- Adhesion and tribological characteristics of ion-containing polymer brushes prepared by controlled radical polymerization / Motoyasu Kobayashi, Tatsuya Ishikawa, and Atsushi Takahara -- Lubrication and wear protection of natural (bio)systems / George W. Greene ... [et al.] -- Polymer brushes and surface forces / Jacob Klein ... [et al.] -- Adhesion, wetting, and superhydrophobicity of polymeric surfaces / Mehdi Mortazavi and Michael Nosonovsky -- Marine bioadhesion on polymer surfaces and strategies for its prevention / Sitaraman Krishnan -- Molecular engineering of peptides for cellular adhesion control / Won Hyuk Suh, Badriprasad Ananthanarayanan, and Matthew Tirrell -- A microcosm of wet adhesion : dissecting protein interactions in mussel attachment plaques / Dong Soo Hwang ... [et al.] -- Gecko-inspired polymer adhesives / Yiægit Mengèuðc and Metin Sitti -- Adhesion and friction mechanisms of polymer surfaces and thin films / Hongbo Zeng -- Recent advances in rubber friction in the context of tire traction / Xiao-Dong Pan -- Polymers, adhesion, and paper materials / Boxin Zhao, Dhamodaran Arunbabu, and Brendan McDonald -- Carbohydrates and their roles in biological recognition processes / Keshwaree Babooram and Ravin Narain -- The impact of bacterial surface polymers on bacterial adhesion / Yang Liu -- Adhesion, friction, and lubrication of polymeric nanoparticles and their applications / Bassem Kheireddin, Ming Zhang, and Mustafa Akbulut -- Electrorheological and magnetorheological materials and mechanical properties / Yu Tian, Yonggang Meng, and Shizhu Wen - Document LIN Search class: ['fer'], ['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|>

3A1659357624.jsonld

Options for Swing Trading : Leverage and Low Risk to Maximize Short-Term Trading

Options traders know all about leverage, and swing traders are keenly aware of entry and exit timing as the key to profits. This book shows the experienced trader at an intermediate or advanced level how to combine these two trading skills into a single, powerful set of strategies to maximize leverage while minimizing risk

[ "['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: Options for Swing Trading : Leverage and Low Risk to Maximize Short-Term Trading - Document Abstract: Options traders know all about leverage, and swing traders are keenly aware of entry and exit timing as the key to profits. This book shows the experienced trader at an intermediate or advanced level how to combine these two trading skills into a single, powerful set of strategies to maximize leverage while minimizing risk - 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|>

3A826718256.jsonld

The miracle of analogy, or, The history of photography / Kaja Silverman ; Part 1

The Miracle of Analogy is the first of a two-volume reconceptualization of photography. It argues that photography originates in what is seen, rather than in the human eye or the camera lens, and that it is the world's primary way of revealing itself to us. Neither an index, representation, nor copy, as conventional studies would have it, the photographic image is an analogy. This principle obtains at every level of its being: a photograph analogizes its referent, the negative from which it is generated, every other print that is struck from that negative, and all of its digital "offspring." Photography is also unstoppably developmental, both at the level of the individual image and of medium. The photograph moves through time, in search of other "kin," some of which may be visual, but others of which may be literary, architectural, philosophical, or literary. Finally, photography develops with us, and in response to us. It assumes historically legible forms, but when we divest them of their saving power, as we always seem to do, it goes elsewhere. The present volume focuses on the nineteenth century and some of its contemporary progeny. It begins with the camera obscura, which morphed into chemical photography and lives on in digital form, and ends with Walter Benjamin. Key figures discussed along the way include Nicéphore Niépce, Louis Daguerre, William Fox-Talbot, Jeff Wall, and Joan Fontcuberta.

[ "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The miracle of analogy, or, The history of photography / Kaja Silverman ; Part 1 - Document Abstract: The Miracle of Analogy is the first of a two-volume reconceptualization of photography. It argues that photography originates in what is seen, rather than in the human eye or the camera lens, and that it is the world's primary way of revealing itself to us. Neither an index, representation, nor copy, as conventional studies would have it, the photographic image is an analogy. This principle obtains at every level of its being: a photograph analogizes its referent, the negative from which it is generated, every other print that is struck from that negative, and all of its digital "offspring." Photography is also unstoppably developmental, both at the level of the individual image and of medium. The photograph moves through time, in search of other "kin," some of which may be visual, but others of which may be literary, architectural, philosophical, or literary. Finally, photography develops with us, and in response to us. It assumes historically legible forms, but when we divest them of their saving power, as we always seem to do, it goes elsewhere. The present volume focuses on the nineteenth century and some of its contemporary progeny. It begins with the camera obscura, which morphed into chemical photography and lives on in digital form, and ends with Walter Benjamin. Key figures discussed along the way include Nicéphore Niépce, Louis Daguerre, William Fox-Talbot, Jeff Wall, and Joan Fontcuberta. - Document LIN Search class: ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1778424473.jsonld

Immersive journalism as storytelling : ethics, production and design

"This book sets out cutting-edge new research and examines future prospects on 360-degree video, virtual reality (VR), and augmented reality (AR) in journalism, analyzing and discussing virtual world experiments from a range of perspectives. Featuring contributions from a diverse range of scholars, Immersive Journalism as Storytelling highlights both the opportunities and the challenges presented by this form of storytelling. The book discusses how immersive journalism has the potential to reach new audiences, change the way stories are told, and provide more interactivity within the news industry. Aside from generating deeper emotional reactions and global perspectives, the book demonstrates how it can also diversify and upskill the news industry. Further contributions address the challenges, examining how immersive storytelling calls for reassessing issues of journalism ethics and truthfulness, transparency, privacy, manipulation, and surveillance, and questioning what it means to cover reality when a story is told in virtual reality. Chapters are grounded in empirical data such as content analyses and expert interviews, alongside insightful case studies that discuss Euronews, Nonny de la Peña’s Project Syria, and The New York Times’ NYTVR application. This book is written for journalism teachers, educators, and students, as well as scholars, politicians, lawmakers, and citizens with an interest in emerging technologies for media practice. "

[ "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Immersive journalism as storytelling : ethics, production and design - Document Abstract: "This book sets out cutting-edge new research and examines future prospects on 360-degree video, virtual reality (VR), and augmented reality (AR) in journalism, analyzing and discussing virtual world experiments from a range of perspectives. Featuring contributions from a diverse range of scholars, Immersive Journalism as Storytelling highlights both the opportunities and the challenges presented by this form of storytelling. The book discusses how immersive journalism has the potential to reach new audiences, change the way stories are told, and provide more interactivity within the news industry. Aside from generating deeper emotional reactions and global perspectives, the book demonstrates how it can also diversify and upskill the news industry. Further contributions address the challenges, examining how immersive storytelling calls for reassessing issues of journalism ethics and truthfulness, transparency, privacy, manipulation, and surveillance, and questioning what it means to cover reality when a story is told in virtual reality. Chapters are grounded in empirical data such as content analyses and expert interviews, alongside insightful case studies that discuss Euronews, Nonny de la Peña’s Project Syria, and The New York Times’ NYTVR application. This book is written for journalism teachers, educators, and students, as well as scholars, politicians, lawmakers, and citizens with an interest in emerging technologies for media practice. " - Document LIN Search class: ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A85930258X.jsonld

Shakespeare's settings and a sense of place

Shakespeare's plays are powerfully shaped by their sense of place. From Romeo and Juliet's fiery, divided Verona to the mists and ghosts of Hamlet's Denmark or Macbeth's Inverness, location in Shakespeare is often as much a character as any of his protagonists. Unlike his other characters, however, it is still possible to visit many of the locations in Shakespeare's plays, and author and scholar Ralph Berry does just that, visiting each of the places that inspired the Bard's imagination. Examining locations Shakespeare knew from personal experience, such as Windsor; locations he created through imagination, such as Elsinore, based on far-off Kronborg Castle; and locations important because Shakespeare's plays were performed there, such as Hampton Court and the Great Hall of the Middle Temple, the book is a vivid and unique approach to the great author's work

[ "['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: Shakespeare's settings and a sense of place - Document Abstract: Shakespeare's plays are powerfully shaped by their sense of place. From Romeo and Juliet's fiery, divided Verona to the mists and ghosts of Hamlet's Denmark or Macbeth's Inverness, location in Shakespeare is often as much a character as any of his protagonists. Unlike his other characters, however, it is still possible to visit many of the locations in Shakespeare's plays, and author and scholar Ralph Berry does just that, visiting each of the places that inspired the Bard's imagination. Examining locations Shakespeare knew from personal experience, such as Windsor; locations he created through imagination, such as Elsinore, based on far-off Kronborg Castle; and locations important because Shakespeare's plays were performed there, such as Hampton Court and the Great Hall of the Middle Temple, the book is a vivid and unique approach to the great author's work - 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|>

3A1682130991.jsonld

Electronic commerce in small to medium-sized enterprises : frameworks, issues and implications

Foreword Brian Corbitt -- Preface and Acknowledgments Nabeel A.Y. Al-Qirim -- E-Commerce Research in SMEs -- A Framework for Electronic Commerce Research in Small to Medium-Sized Enterprises Nabeel A.Y. Al-Qirim -- E-Commerce and SMEs: A Reflection and the Way Ahead Simpson Poon, Xueli (Charlie) Huang -- Social and Cultural Impacts on E-Commerce Adoption in SMEs -- Small Businesses as Social Formations: Diverse Rationalities in the Context ofe-Business Adoption Tanya Castleman -- Factors Impacting E-Commerce Adoption and Use in SMEs -- Business Issues in the 21st Century: An Empirical Study of E-Commerce Adoption in UK and Denmark SMEs Michael Quayle, John K. Christiansen -- Perceived Barriers and Risks of E-Commerce Supply Chain Management Network Among SMEs in Australia and New Zealand Pauline Ratnasingam -- E-Commerce in Developing Countries -- The Potential of E-Commerce for Remotely Located SMEs: Case Studies from Samoa Fuatai Purcell, Janet Toland, Sid L. Huff -- Adoption and Diffusion Patterns of E-Commerce in SMEs -- Factors Influencing E-Commerce Adoption in Small and Medium Businesses: An Empirical Study in Thailand Chalermsak Lertwongsatien, Nitaya Wongpinunwatana, Angsana Achakulwisut -- Mapping the Diffusion of the Internet Technology Cluster: An Examination of Irish SMEs James Griffin -- SMEs Adoption and Implementation Process of Websites in the Presence of Change Agents Zakia A. Elsammani, Ray Hackney, Phil Scown -- Successful SMEs in E-Commerce

[ "['oek']", "['inf']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Electronic commerce in small to medium-sized enterprises : frameworks, issues and implications - Document Abstract: Foreword Brian Corbitt -- Preface and Acknowledgments Nabeel A.Y. Al-Qirim -- E-Commerce Research in SMEs -- A Framework for Electronic Commerce Research in Small to Medium-Sized Enterprises Nabeel A.Y. Al-Qirim -- E-Commerce and SMEs: A Reflection and the Way Ahead Simpson Poon, Xueli (Charlie) Huang -- Social and Cultural Impacts on E-Commerce Adoption in SMEs -- Small Businesses as Social Formations: Diverse Rationalities in the Context ofe-Business Adoption Tanya Castleman -- Factors Impacting E-Commerce Adoption and Use in SMEs -- Business Issues in the 21st Century: An Empirical Study of E-Commerce Adoption in UK and Denmark SMEs Michael Quayle, John K. Christiansen -- Perceived Barriers and Risks of E-Commerce Supply Chain Management Network Among SMEs in Australia and New Zealand Pauline Ratnasingam -- E-Commerce in Developing Countries -- The Potential of E-Commerce for Remotely Located SMEs: Case Studies from Samoa Fuatai Purcell, Janet Toland, Sid L. Huff -- Adoption and Diffusion Patterns of E-Commerce in SMEs -- Factors Influencing E-Commerce Adoption in Small and Medium Businesses: An Empirical Study in Thailand Chalermsak Lertwongsatien, Nitaya Wongpinunwatana, Angsana Achakulwisut -- Mapping the Diffusion of the Internet Technology Cluster: An Examination of Irish SMEs James Griffin -- SMEs Adoption and Implementation Process of Websites in the Presence of Change Agents Zakia A. Elsammani, Ray Hackney, Phil Scown -- Successful SMEs in E-Commerce - Document LIN Search class: ['oek'], ['inf'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1747642835.jsonld

Double hierarchy linguistic term set and its extensions : theory and applications

Chapter 1. Double hierarchy linguistic term set and its extensions -- Chapter 2. Measure methods for DHHFLTSs -- Chapter 3. Consistency theory framework of DHHFLPRs -- Chapter 4. Group consensus decision-making methods with DHHFLPRs, LPOs and self-confident DHLPRs -- Chapter 5. Large-scale group consensus decision-making methods with DHHFLPRs. This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problemshas become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students

[ "['inf']", "['mat']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Double hierarchy linguistic term set and its extensions : theory and applications - Document Abstract: Chapter 1. Double hierarchy linguistic term set and its extensions -- Chapter 2. Measure methods for DHHFLTSs -- Chapter 3. Consistency theory framework of DHHFLPRs -- Chapter 4. Group consensus decision-making methods with DHHFLPRs, LPOs and self-confident DHLPRs -- Chapter 5. Large-scale group consensus decision-making methods with DHHFLPRs. This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problemshas become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students - Document LIN Search class: ['inf'], ['mat'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A819683728.jsonld

Wetlands.

Cover -- Title Page -- Copyright -- Contents -- Preface -- Part I Introduction -- Chapter 1 Wetlands: Human Use and Science -- Human History and Wetlands -- Literary References to Wetlands -- Wetland Science and Wetland Scientists -- Wetland Managers and Wetland Management -- Chapter 2 Wetland Definitions -- Wetlands in the Landscape -- Wetland Common Terms -- Formal Wetland Definitions -- Legal Definitions -- Choice of a Definition -- Chapter 3 Wetlands of the World -- The Global Extent of Wetlands -- Regional Wetlands of the World -- Part II The Wetland Environment -- Chapter 4 Wetland Hydrology -- Importance of Hydrology in Wetlands -- Wetland Hydroperiod -- Wetland Water Budget -- Precipitation -- Surface Flow -- Groundwater -- Evapotranspiration -- Tides -- Seiches -- Effects of Hydrology on Wetland Function -- Techniques for Wetland Hydrology Studies -- Chapter 5 Wetland Soils -- Types and Definitions -- Organic Wetland Soil -- Mineral Wetland Soil -- Reduction/Oxidation in Wetland Soil -- Chapter 6 Wetland Biogeochemistry -- The Nitrogen Cycle -- Iron and Manganese Transformations -- The Sulfur Cycle -- The Carbon Cycle -- The Phosphorus Cycle -- Water Chemistry -- Nutrient Budgets of Wetlands -- Chapter 7 Wetland Vegetation and Succession -- Vascular Plant Adaptations to Waterlogging and Flooding -- Wetland Succession -- Part III Wetland Ecosystems -- Chapter 8 Tidal Marshes -- Tidal Salt Marshes -- Tidal Freshwater Wetlands -- Chapter 9 Mangrove Swamps -- Geographical Extent -- Hydrogeomorphology -- Soils and Salinity -- Vegetation -- Consumers -- Ecosystem Function -- Chapter 10 Freshwater Marshes -- Hydrology -- Biogeochemistry -- Vegetation -- Consumers -- Ecosystem Function -- Chapter 11 Freshwater Swamps and Riparian Ecosystems -- Geographic Extent -- Geomorphology and Hydrology -- Biogeochemistry -- Vegetation -- Consumers. The single most important book on wetlands, newly expanded and updated Wetlandsis the definitive guide to this fragile ecosystem, providing the most comprehensive coverage and in-depth information available in print. Recently updated and expanded, this latest edition contains brand new information on Wetland Ecosystem Services and an updated discussion on Wetland, Carbon, and Climate Change and Wetland Creation and Restoration. Due to popular demand, the authors have brought back five streamlined chapters on wetland ecosystems that had been removed from previous editions, and provided more robust ancillary materials including an online color photo gallery, PowerPoint slides, and several video case studies.As nature's kidneys, wetland ecosystems help the environment process toxins and excess fertilizers and maintain the relative health of our aquatic ecosystems. As the understanding of their importance grows, their management and ecology have gained increased attention and have become an area of professional specialization over the past two decades. This book gives readers a solid understanding of wetlands, how they work, what they do, and why the Earth can't live without them.Understand wetlands' role in the ecosystem, from local to global scalesAppreciate the fact that wetlands may be the most logical and economical way to sequester carbon from the atmosphereDiscover the unique characteristics that make wetlands critically important for improving water quality, reducing storm and flood damage, and providing habitat to support biodiversityLearn how wetlands are being managed or destroyed around the globe but also how we can create and restore themExamine the ways in which climate change is affecting wetland ecosystems and wetland ecosystems affect climate changeWetlands are crucial to the health of the planet, and we've only begun to realize the magnitude of the damage that has already been done as we scramble to save them. A generation of ecologists, ecological engineers, land use planners, and water resource managers worldwide owe their knowledge of the wetlands to this book – for the next generation to follow in their footsteps, Wetlands5thedition is the quintessential guide to these critical systems. WILLIAM J. MITSCHis Professor and Eminent Scholar at Florida Gulf Coast University and the Director of its Everglades Wetland Research Park, as well as Juliet C. Sproul Chair for Southwest Florida Habitat Restoration and Management. With Sven Jorgensen of Denmark, Mitsch was the 2004 winner of the Stockholm Water Prize. JAMES G. GOSSELINKis Professor Emeritus at the Center for Coast and Environment at Louisiana State University. He was awarded the Society of Wetland Scientists Lifetime Achievement Award in 1998.

[ "['geo']", "['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: Wetlands. - Document Abstract: Cover -- Title Page -- Copyright -- Contents -- Preface -- Part I Introduction -- Chapter 1 Wetlands: Human Use and Science -- Human History and Wetlands -- Literary References to Wetlands -- Wetland Science and Wetland Scientists -- Wetland Managers and Wetland Management -- Chapter 2 Wetland Definitions -- Wetlands in the Landscape -- Wetland Common Terms -- Formal Wetland Definitions -- Legal Definitions -- Choice of a Definition -- Chapter 3 Wetlands of the World -- The Global Extent of Wetlands -- Regional Wetlands of the World -- Part II The Wetland Environment -- Chapter 4 Wetland Hydrology -- Importance of Hydrology in Wetlands -- Wetland Hydroperiod -- Wetland Water Budget -- Precipitation -- Surface Flow -- Groundwater -- Evapotranspiration -- Tides -- Seiches -- Effects of Hydrology on Wetland Function -- Techniques for Wetland Hydrology Studies -- Chapter 5 Wetland Soils -- Types and Definitions -- Organic Wetland Soil -- Mineral Wetland Soil -- Reduction/Oxidation in Wetland Soil -- Chapter 6 Wetland Biogeochemistry -- The Nitrogen Cycle -- Iron and Manganese Transformations -- The Sulfur Cycle -- The Carbon Cycle -- The Phosphorus Cycle -- Water Chemistry -- Nutrient Budgets of Wetlands -- Chapter 7 Wetland Vegetation and Succession -- Vascular Plant Adaptations to Waterlogging and Flooding -- Wetland Succession -- Part III Wetland Ecosystems -- Chapter 8 Tidal Marshes -- Tidal Salt Marshes -- Tidal Freshwater Wetlands -- Chapter 9 Mangrove Swamps -- Geographical Extent -- Hydrogeomorphology -- Soils and Salinity -- Vegetation -- Consumers -- Ecosystem Function -- Chapter 10 Freshwater Marshes -- Hydrology -- Biogeochemistry -- Vegetation -- Consumers -- Ecosystem Function -- Chapter 11 Freshwater Swamps and Riparian Ecosystems -- Geographic Extent -- Geomorphology and Hydrology -- Biogeochemistry -- Vegetation -- Consumers. The single most important book on wetlands, newly expanded and updated Wetlandsis the definitive guide to this fragile ecosystem, providing the most comprehensive coverage and in-depth information available in print. Recently updated and expanded, this latest edition contains brand new information on Wetland Ecosystem Services and an updated discussion on Wetland, Carbon, and Climate Change and Wetland Creation and Restoration. Due to popular demand, the authors have brought back five streamlined chapters on wetland ecosystems that had been removed from previous editions, and provided more robust ancillary materials including an online color photo gallery, PowerPoint slides, and several video case studies.As nature's kidneys, wetland ecosystems help the environment process toxins and excess fertilizers and maintain the relative health of our aquatic ecosystems. As the understanding of their importance grows, their management and ecology have gained increased attention and have become an area of professional specialization over the past two decades. This book gives readers a solid understanding of wetlands, how they work, what they do, and why the Earth can't live without them.Understand wetlands' role in the ecosystem, from local to global scalesAppreciate the fact that wetlands may be the most logical and economical way to sequester carbon from the atmosphereDiscover the unique characteristics that make wetlands critically important for improving water quality, reducing storm and flood damage, and providing habitat to support biodiversityLearn how wetlands are being managed or destroyed around the globe but also how we can create and restore themExamine the ways in which climate change is affecting wetland ecosystems and wetland ecosystems affect climate changeWetlands are crucial to the health of the planet, and we've only begun to realize the magnitude of the damage that has already been done as we scramble to save them. A generation of ecologists, ecological engineers, land use planners, and water resource managers worldwide owe their knowledge of the wetlands to this book – for the next generation to follow in their footsteps, Wetlands5thedition is the quintessential guide to these critical systems. WILLIAM J. MITSCHis Professor and Eminent Scholar at Florida Gulf Coast University and the Director of its Everglades Wetland Research Park, as well as Juliet C. Sproul Chair for Southwest Florida Habitat Restoration and Management. With Sven Jorgensen of Denmark, Mitsch was the 2004 winner of the Stockholm Water Prize. JAMES G. GOSSELINKis Professor Emeritus at the Center for Coast and Environment at Louisiana State University. He was awarded the Society of Wetland Scientists Lifetime Achievement Award in 1998. - Document LIN Search class: ['geo'], ['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|>

3A535355580.jsonld

Metapragmatics in use

Don't blame me for criticizing you ... / Krisadawan Hongladarom -- Facework and multiple selves in apologetic metapragmatic comments in Japanese / Barbara Pizziconi -- Metapragmatic function of quotative markers in Japanese / Satoko Suzuki -- Metapragmatic utterances in computer-mediated interaction / Sanna-Kaisa Tanskanen -- On the metapragmatics of gestures / Axel Hübler -- Language shift in conversation as a metapragmatic comment / Hartmut Haberland -- Metapragmatic comments in institutional talk / Anna Ciliberti and Laurie Anderson -- Metapragmatic expressions in physics lectures / Sara W. Smith and Xiaoping Liang -- The acquisition of metapragmatic abilities in preschool children / Juliane Stude -- So your story now is that ... / Richard W. Janney -- A metapragmatic examination of therapist reformulations / Peter Muntigl -- Building common ground through metapragmatic comments in international project work / Hermine Penz

[ "['lin']", "['lit']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Metapragmatics in use - Document Abstract: Don't blame me for criticizing you ... / Krisadawan Hongladarom -- Facework and multiple selves in apologetic metapragmatic comments in Japanese / Barbara Pizziconi -- Metapragmatic function of quotative markers in Japanese / Satoko Suzuki -- Metapragmatic utterances in computer-mediated interaction / Sanna-Kaisa Tanskanen -- On the metapragmatics of gestures / Axel Hübler -- Language shift in conversation as a metapragmatic comment / Hartmut Haberland -- Metapragmatic comments in institutional talk / Anna Ciliberti and Laurie Anderson -- Metapragmatic expressions in physics lectures / Sara W. Smith and Xiaoping Liang -- The acquisition of metapragmatic abilities in preschool children / Juliane Stude -- So your story now is that ... / Richard W. Janney -- A metapragmatic examination of therapist reformulations / Peter Muntigl -- Building common ground through metapragmatic comments in international project work / Hermine Penz - Document LIN Search class: ['lin'], ['lit'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1742259030.jsonld

Operating systems : internals and design principles

For one- or two-semester undergraduate courses in operating systems for computer science, computer engineering, and electrical engineering majors An introduction to operating systems with up-to-date and comprehensive coverageNow in its 9th Edition, Operating Systems: Internals and Design Principles provides a comprehensive, unified introduction to operating systems topics aimed at computer science, computer engineering, and electrical engineering majors. Author William Stallings emphasizes both design issues and fundamental principles in contemporary systems, while providing readers with a solid understanding of the key structures and mechanisms of operating systems. He discusses design trade-offs and the practical decisions affecting design, performance and security. The text illustrates and reinforces design concepts, tying them to real-world design choices with case studies in Linux, UNIX, Android, and Windows 10. With an unparalleled degree of support for integrating projects into the course, plus comprehensive coverage of the latest trends and developments in operating systems, including cloud computing and the Internet of Things (IoT), the text provides everything students and instructors need to keep pace with a complex and rapidly changing field. The 9th Edition has been extensively revised and contains new material, new projects, and updated chapters.

[ "['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: Operating systems : internals and design principles - Document Abstract: For one- or two-semester undergraduate courses in operating systems for computer science, computer engineering, and electrical engineering majors An introduction to operating systems with up-to-date and comprehensive coverageNow in its 9th Edition, Operating Systems: Internals and Design Principles provides a comprehensive, unified introduction to operating systems topics aimed at computer science, computer engineering, and electrical engineering majors. Author William Stallings emphasizes both design issues and fundamental principles in contemporary systems, while providing readers with a solid understanding of the key structures and mechanisms of operating systems. He discusses design trade-offs and the practical decisions affecting design, performance and security. The text illustrates and reinforces design concepts, tying them to real-world design choices with case studies in Linux, UNIX, Android, and Windows 10. With an unparalleled degree of support for integrating projects into the course, plus comprehensive coverage of the latest trends and developments in operating systems, including cloud computing and the Internet of Things (IoT), the text provides everything students and instructors need to keep pace with a complex and rapidly changing field. The 9th Edition has been extensively revised and contains new material, new projects, and updated chapters. - 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|>

3A1748332791.jsonld

Wireless sensor networks

"This first-of-its-kind resource offers an in-depth understanding of wireless sensor networks from a systems perspective. The book describes and categorizes the technological trends, leading applications, state-of-the-art platform developments, future trends, and challenges of sensor networks." "This practical reference also addresses middleware issues for sensor network applications and focuses on important application domains, showing how specific applications influence the architectural design of networked systems. Contributions from leading international researchers and nearly 70 illustrations support key topics throughout the book."--Jacket

[ "['inf']", "['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: Wireless sensor networks - Document Abstract: "This first-of-its-kind resource offers an in-depth understanding of wireless sensor networks from a systems perspective. The book describes and categorizes the technological trends, leading applications, state-of-the-art platform developments, future trends, and challenges of sensor networks." "This practical reference also addresses middleware issues for sensor network applications and focuses on important application domains, showing how specific applications influence the architectural design of networked systems. Contributions from leading international researchers and nearly 70 illustrations support key topics throughout the book."--Jacket - Document LIN Search class: ['inf'], ['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|>

3A1847596320.jsonld

Decoding Anne Lister : from the archive to Gentleman Jack

"The first edited collection of essays on the nineteenth-century diarist Anne Lister, this interdisciplinary collection highlights how her five-million-word diaries shifted paradigms and created awareness around same-sex practices. It engages with Lister's influence beyond academia through to her present-day screen adaptation"--

[ "['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: Decoding Anne Lister : from the archive to Gentleman Jack - Document Abstract: "The first edited collection of essays on the nineteenth-century diarist Anne Lister, this interdisciplinary collection highlights how her five-million-word diaries shifted paradigms and created awareness around same-sex practices. It engages with Lister's influence beyond academia through to her present-day screen adaptation"-- - 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|>

3A745955851.jsonld

Forgotten voices of Mao's great famine, 1958 - 1962 : an oral history

"A comprehensive history of the Great Famine of 1958-61, in the words of the survivors, based on hundreds of hours of interviews across China"-- "In 1958, China's revered leader Mao Zedong instituted a program designed to transform his giant nation into a Communist utopia. Called the Great Leap Forward, Mao's grand scheme-like so many other utopian dreams of the 20th century-proved a monumental disaster, resulting in the mass destruction of China's agriculture, industry, and trade while leaving large portions of the countryside forever scarred by man-made environmental disasters. The resulting three-year famine claimed the lives of more than 45 million people in China. In this remarkable oral history of modern China's greatest tragedy, survivors of the cataclysm share their memories of the devastation and loss. The range of voices is wide: city dwellers and peasants, scholars and factory workers, parents who lost children and children who were orphaned in the catastrophe all speak out. Powerful and deeply moving, this unique remembrance of an unnecessary and unhindered catastrophe illuminates a dark recent history that remains officially unacknowledged to this day by the Chinese government and opens a window on a society still feeling the impact of the terrible Great Famine"--

[ "['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: Forgotten voices of Mao's great famine, 1958 - 1962 : an oral history - Document Abstract: "A comprehensive history of the Great Famine of 1958-61, in the words of the survivors, based on hundreds of hours of interviews across China"-- "In 1958, China's revered leader Mao Zedong instituted a program designed to transform his giant nation into a Communist utopia. Called the Great Leap Forward, Mao's grand scheme-like so many other utopian dreams of the 20th century-proved a monumental disaster, resulting in the mass destruction of China's agriculture, industry, and trade while leaving large portions of the countryside forever scarred by man-made environmental disasters. The resulting three-year famine claimed the lives of more than 45 million people in China. In this remarkable oral history of modern China's greatest tragedy, survivors of the cataclysm share their memories of the devastation and loss. The range of voices is wide: city dwellers and peasants, scholars and factory workers, parents who lost children and children who were orphaned in the catastrophe all speak out. Powerful and deeply moving, this unique remembrance of an unnecessary and unhindered catastrophe illuminates a dark recent history that remains officially unacknowledged to this day by the Chinese government and opens a window on a society still feeling the impact of the terrible Great Famine"-- - 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|>

3A1651643334.jsonld

OECD Territorial Reviews: Slovenia 2011

Despite its relatively small size, Slovenia is a good illustration of the potential of regional development policy. Its internal diversity, openness and experience of rapid structural change all reinforce the need for efficient reallocation of resources, while underscoring the need to take account of the potential positive and negative externalities associated with the shifting structure of economic activity. With 36% of the national territory falling under Natura 2000 protection, spatial planning is particularly challenging and yet also particularly important. Given the absence of a regional tier of government and the extreme fragmentation of the municipal level of authority, Slovenia needs to develop capacity at intermediate levels, to address policy problems that are best tackled at a scale in between the local and the national.

[ "['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: OECD Territorial Reviews: Slovenia 2011 - Document Abstract: Despite its relatively small size, Slovenia is a good illustration of the potential of regional development policy. Its internal diversity, openness and experience of rapid structural change all reinforce the need for efficient reallocation of resources, while underscoring the need to take account of the potential positive and negative externalities associated with the shifting structure of economic activity. With 36% of the national territory falling under Natura 2000 protection, spatial planning is particularly challenging and yet also particularly important. Given the absence of a regional tier of government and the extreme fragmentation of the municipal level of authority, Slovenia needs to develop capacity at intermediate levels, to address policy problems that are best tackled at a scale in between the local and the national. - 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|>

3A1662685726.jsonld

Armut - Arbeit - Menschenwürde : die Euböische Rede des Dion von Prusa

This volume contains a full translation and commentary of Dio of Prusa's Euboean Oration, of which generally only the first part, a short narrative about the life of a hunter's family in southern Euboea, is known. The second part of the speech, however, is at least of equal interest, because it presents a substantial social and economic program that is to ensure decent working conditions and a humane livelihood especially for the urban poor. This program is closely connected with Dio's lifelong engagement not only as a politician in his native city of Prusa, but also as a philosophical counsellor and orator in Rome. A number of essays illuminate the literary, archaeological, ethical and sociopolitical aspects of this work and thus make it possible (for the first time) to fully appreciate its contents. Der von Gustav Adolf Lehmann herausgegebene Band enthält eine vollständige Übersetzung und Kommentierung der Euböischen Rede des Dion von Prusa, von der allgemein nur der erste Teil, der Kurz-Roman über das Leben der Jägerfamilie in den Bergwäldern Süd-Euböas, bekannt ist. Tatsächlich umfasst die Euböische Rede jedoch in ihrem zweiten Teil ein bedeutendes soziales und ökonomisches Programm, um gerade der urbanen Stadtarmut eine menschenwürdige Arbeits- und Existenzgrundlage zu geben. Dieses Programm ist mit Dions lebenslangem Engagement als Politiker in seiner Heimatstadt Prusa, aber auch mit seiner Rolle als philosophischer Berater und Redner in Rom eng verbunden. Eine Reihe von Essays erschließt den literarischen, archäologischen, politisch-ethischen und politisch-sozialen Inhalt des Werkes und macht erstmals eine umfassende Würdigung dieser Schrift möglich.

[ "['lit']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Armut - Arbeit - Menschenwürde : die Euböische Rede des Dion von Prusa - Document Abstract: This volume contains a full translation and commentary of Dio of Prusa's Euboean Oration, of which generally only the first part, a short narrative about the life of a hunter's family in southern Euboea, is known. The second part of the speech, however, is at least of equal interest, because it presents a substantial social and economic program that is to ensure decent working conditions and a humane livelihood especially for the urban poor. This program is closely connected with Dio's lifelong engagement not only as a politician in his native city of Prusa, but also as a philosophical counsellor and orator in Rome. A number of essays illuminate the literary, archaeological, ethical and sociopolitical aspects of this work and thus make it possible (for the first time) to fully appreciate its contents. Der von Gustav Adolf Lehmann herausgegebene Band enthält eine vollständige Übersetzung und Kommentierung der Euböischen Rede des Dion von Prusa, von der allgemein nur der erste Teil, der Kurz-Roman über das Leben der Jägerfamilie in den Bergwäldern Süd-Euböas, bekannt ist. Tatsächlich umfasst die Euböische Rede jedoch in ihrem zweiten Teil ein bedeutendes soziales und ökonomisches Programm, um gerade der urbanen Stadtarmut eine menschenwürdige Arbeits- und Existenzgrundlage zu geben. Dieses Programm ist mit Dions lebenslangem Engagement als Politiker in seiner Heimatstadt Prusa, aber auch mit seiner Rolle als philosophischer Berater und Redner in Rom eng verbunden. Eine Reihe von Essays erschließt den literarischen, archäologischen, politisch-ethischen und politisch-sozialen Inhalt des Werkes und macht erstmals eine umfassende Würdigung dieser Schrift möglich. - Document LIN Search class: ['lit'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1663275211.jsonld

The other women's lib : gender and body in Japanese women's fiction

Introduction: Bad wives and worse mothers? rewriting femininity in postwar Japan -- Party crashers and poison pens: women writers in the age of high economic growth -- The masculine gaze as disciplinary mechanism -- Feminist misogyny? or how I learned to hate my body -- Odd bodies -- The body of the other woman -- Conclusion: Power, violence, and language in the age of high economic growth

[ "['lit']", "['sow']", "['his']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The other women's lib : gender and body in Japanese women's fiction - Document Abstract: Introduction: Bad wives and worse mothers? rewriting femininity in postwar Japan -- Party crashers and poison pens: women writers in the age of high economic growth -- The masculine gaze as disciplinary mechanism -- Feminist misogyny? or how I learned to hate my body -- Odd bodies -- The body of the other woman -- Conclusion: Power, violence, and language in the age of high economic growth - Document LIN Search class: ['lit'], ['sow'], ['his'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1616294515.jsonld

Romantic outlaws : the extraordinary lives of Mary Wollstonecraft and her daughter Mary Shelley

"Mary Wollstonecraft (1759-1797) and her daughter Mary Shelley (1797-1851) have each been the subject of numerous biographies by top tier writers, yet no author has ever examined their lives in tandem. Perhaps this is because these two amazing women never knew each other--Wollstonecraft died of infection at the age of 38, a week after giving birth to her daughter. Nevertheless their lives were closely intertwined, their choices, dreams and tragedies so eerily similar, it seems impossible to consider one without the other: both became famous writers; both fell in love with brilliant but impossible authors; both were single mothers and had children out of wedlock (a shocking and self-destructive act in their day); both broke out of the rigid conventions of their era and lived in exile; and both played important roles in the Romantic era during which they lived. The lives of both Marys were nothing less than extraordinary, providing fabulous material for Charlotte Gordon, a gifted story teller. She seamlessly weaves their lives together in back and forth narratives, taking readers on a vivid journey across Revolutionary France and Victorian England, from the Italian seaports to the highlands of Scotland, in a book that reads like a richly textured historical novel"--

[ "['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: Romantic outlaws : the extraordinary lives of Mary Wollstonecraft and her daughter Mary Shelley - Document Abstract: "Mary Wollstonecraft (1759-1797) and her daughter Mary Shelley (1797-1851) have each been the subject of numerous biographies by top tier writers, yet no author has ever examined their lives in tandem. Perhaps this is because these two amazing women never knew each other--Wollstonecraft died of infection at the age of 38, a week after giving birth to her daughter. Nevertheless their lives were closely intertwined, their choices, dreams and tragedies so eerily similar, it seems impossible to consider one without the other: both became famous writers; both fell in love with brilliant but impossible authors; both were single mothers and had children out of wedlock (a shocking and self-destructive act in their day); both broke out of the rigid conventions of their era and lived in exile; and both played important roles in the Romantic era during which they lived. The lives of both Marys were nothing less than extraordinary, providing fabulous material for Charlotte Gordon, a gifted story teller. She seamlessly weaves their lives together in back and forth narratives, taking readers on a vivid journey across Revolutionary France and Victorian England, from the Italian seaports to the highlands of Scotland, in a book that reads like a richly textured historical novel"-- - 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|>

3A1649011482.jsonld

Stroke prevention in clinical practice

Stroke is a brain attack and a major cause of disability and the third biggest killer. Active intervention can prevent stroke especially in high risk groups. Patients who have transient ischaemic attacks (TIAs) are at an increased risk of stroke and should be targeted. Primary care physicians are the first to diagnose the TIA, and are therefore vital in helping reach these people, they are the doctors who can undertake a considerable amount of stroke prevention treatment. Stroke Prevention in Clinical Practice fills the need for a short clear text to explain how to accurately diagnosis a TIA, determine what investigations are indicated and how and when to intervene to reduce the risk of stroke. Short chapters written in point form with clear diagrams and figures, each chapter written by an expert in the field.

[ "['meda']", "['rest']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Stroke prevention in clinical practice - Document Abstract: Stroke is a brain attack and a major cause of disability and the third biggest killer. Active intervention can prevent stroke especially in high risk groups. Patients who have transient ischaemic attacks (TIAs) are at an increased risk of stroke and should be targeted. Primary care physicians are the first to diagnose the TIA, and are therefore vital in helping reach these people, they are the doctors who can undertake a considerable amount of stroke prevention treatment. Stroke Prevention in Clinical Practice fills the need for a short clear text to explain how to accurately diagnosis a TIA, determine what investigations are indicated and how and when to intervene to reduce the risk of stroke. Short chapters written in point form with clear diagrams and figures, each chapter written by an expert in the field. - Document LIN Search class: ['meda'], ['rest'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A895853795.jsonld

International and European criminal law

Introduction -- Criminal jurisdiction and the territorial scope of criminal law -- European criminal law -- International criminal law -- Index

[ "['jur']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: International and European criminal law - Document Abstract: Introduction -- Criminal jurisdiction and the territorial scope of criminal law -- European criminal law -- International criminal law -- Index - Document LIN Search class: ['jur'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1671252098.jsonld

The economics of electricity markets

"The book covers the basic modelling of electricity markets, including the impact of uncertainty, an integral part of generation investment decisions and transmission cost-benefit analysis"--

[ "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: The economics of electricity markets - Document Abstract: "The book covers the basic modelling of electricity markets, including the impact of uncertainty, an integral part of generation investment decisions and transmission cost-benefit analysis"-- - 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|>

3A778354660.jsonld

Real-Time UML Workshop for Embedded Systems

Written as a workbook with a set of guided exercises that teach by example, this book gives a practical, hands-on guide to using UML to design and implement embedded and real-time systems. A review of the basics of UML and the Harmony process for embedded software development: two on-going case examples to teach the concepts, a small-scale traffic light control system and a large scale unmanned air vehicle show the applications of UML to the specification, analysis and design of embedded and real-time systems in generalA building block approach: a series of progressive worked exercises with s

[ "['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: Real-Time UML Workshop for Embedded Systems - Document Abstract: Written as a workbook with a set of guided exercises that teach by example, this book gives a practical, hands-on guide to using UML to design and implement embedded and real-time systems. A review of the basics of UML and the Harmony process for embedded software development: two on-going case examples to teach the concepts, a small-scale traffic light control system and a large scale unmanned air vehicle show the applications of UML to the specification, analysis and design of embedded and real-time systems in generalA building block approach: a series of progressive worked exercises with s - 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|>

3A611785285.jsonld

Bridges : the science and art of the world's most inspiring structures

Bridges touch all our lives - every day we are likely to cross a bridge, or go under one. How many of us stop to consider how the bridge stands up and what sort of people designed and built something so strong? Bridge building is a magnificent example of the practical and every day use of science. However, the story of bridges goes beyond science and technology, and involves issues relating to artistic and cultural development. After all, bridges are built by people, for people. Bridges can be icons for whole cities; just consider New York's Brooklyn Bridge, London's Tower Bridge, and Sydney's Harbour Bridge. The author explains how to read a bridge in all its different forms, designs and constructions. He combines the engineering of how bridges work with the cultural, aesthetic, and historical importance they hold--

[ "['bau']" ]

<|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: Bridges : the science and art of the world's most inspiring structures - Document Abstract: Bridges touch all our lives - every day we are likely to cross a bridge, or go under one. How many of us stop to consider how the bridge stands up and what sort of people designed and built something so strong? Bridge building is a magnificent example of the practical and every day use of science. However, the story of bridges goes beyond science and technology, and involves issues relating to artistic and cultural development. After all, bridges are built by people, for people. Bridges can be icons for whole cities; just consider New York's Brooklyn Bridge, London's Tower Bridge, and Sydney's Harbour Bridge. The author explains how to read a bridge in all its different forms, designs and constructions. He combines the engineering of how bridges work with the cultural, aesthetic, and historical importance they hold-- - Document LIN Search class: ['bau'] ### 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|>

3A1023444828.jsonld

Successful entrepreneurship : confronting economic theory with empirical practice

Mirjam van Praag compares and contrasts the economic theory of entrepreneurship with determinants of successful entrepreneurship derived from empirical evidence, in an attempt to discover what makes for an accomplished entrepreneur. The author's state-of-the-art historical, theoretical and empirical research on successful entrepreneurship--all from an explicit economic perspective--comprehensively addresses questions such as: "What are the factors that influence individuals' decisions to start a business venture as opposed to working as an employee?" and "What are the individual characteristics that make one successful as an entrepreneur?" thereby supporting or dispelling various existing myths. Individual factors contributing to the success of entrepreneurs that are considered include, amongst others, human capital, financial capital and psychological traits. The importance of such factors for the various phases of entrepreneurship, including start-up, delivery and performance is also measured Pt. 1. Introduction -- pt. 2. Entrepreneurship selection/venture start-ups -- pt. 3. Entrepreneurship success/venture performance -- pt. 4. Conclusions

[ "['oek']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Successful entrepreneurship : confronting economic theory with empirical practice - Document Abstract: Mirjam van Praag compares and contrasts the economic theory of entrepreneurship with determinants of successful entrepreneurship derived from empirical evidence, in an attempt to discover what makes for an accomplished entrepreneur. The author's state-of-the-art historical, theoretical and empirical research on successful entrepreneurship--all from an explicit economic perspective--comprehensively addresses questions such as: "What are the factors that influence individuals' decisions to start a business venture as opposed to working as an employee?" and "What are the individual characteristics that make one successful as an entrepreneur?" thereby supporting or dispelling various existing myths. Individual factors contributing to the success of entrepreneurs that are considered include, amongst others, human capital, financial capital and psychological traits. The importance of such factors for the various phases of entrepreneurship, including start-up, delivery and performance is also measured Pt. 1. Introduction -- pt. 2. Entrepreneurship selection/venture start-ups -- pt. 3. Entrepreneurship success/venture performance -- pt. 4. Conclusions - Document LIN Search class: ['oek'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A828805911.jsonld

Justifying genocide : Germany and the Armenians from Bismarck to Hitler

"The Armenian Genocide and the Nazi Holocaust are often thought to be separated by a large distance in time and space. But Stefan Ihrig shows that they were much more connected than previously thought. Bismarck and then Wilhelm II staked their foreign policy on close relations with a stable Ottoman Empire. To the extent that the Armenians were restless under Ottoman rule, they were a problem for Germany too. From the 1890s onward Germany became accustomed to excusing violence against Armenians, even accepting it as a foreign policy necessity. For many Germans, the Armenians represented an explicitly racial problem and despite the Armenians' Christianity, Germans portrayed them as the 'Jews of the Orient.' As Stefan Ihrig reveals in this first comprehensive study of the subject, many Germans before World War I sympathized with the Ottomans' longstanding repression of the Armenians and would go on to defend vigorously the Turks' wartime program of extermination. After the war, in what Ihrig terms the 'great genocide debate,' German nationalists first denied and then justified genocide in sweeping terms. The Nazis too came to see genocide as justifiable: in their version of history, the Armenian Genocide had made possible the astonishing rise of the New Turkey. Ihrig is careful to note that this connection does not imply the Armenian Genocide somehow caused the Holocaust, nor does it make Germans any less culpable. But no history of the twentieth century should ignore the deep, direct, and disturbing connections between these two crimes. As Stefan Ihrig shows in this first comprehensive study, many Germans sympathized with the Ottomans' longstanding repression of the Armenians and with the Turks' program of extermination during World War I"--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: Justifying genocide : Germany and the Armenians from Bismarck to Hitler - Document Abstract: "The Armenian Genocide and the Nazi Holocaust are often thought to be separated by a large distance in time and space. But Stefan Ihrig shows that they were much more connected than previously thought. Bismarck and then Wilhelm II staked their foreign policy on close relations with a stable Ottoman Empire. To the extent that the Armenians were restless under Ottoman rule, they were a problem for Germany too. From the 1890s onward Germany became accustomed to excusing violence against Armenians, even accepting it as a foreign policy necessity. For many Germans, the Armenians represented an explicitly racial problem and despite the Armenians' Christianity, Germans portrayed them as the 'Jews of the Orient.' As Stefan Ihrig reveals in this first comprehensive study of the subject, many Germans before World War I sympathized with the Ottomans' longstanding repression of the Armenians and would go on to defend vigorously the Turks' wartime program of extermination. After the war, in what Ihrig terms the 'great genocide debate,' German nationalists first denied and then justified genocide in sweeping terms. The Nazis too came to see genocide as justifiable: in their version of history, the Armenian Genocide had made possible the astonishing rise of the New Turkey. Ihrig is careful to note that this connection does not imply the Armenian Genocide somehow caused the Holocaust, nor does it make Germans any less culpable. But no history of the twentieth century should ignore the deep, direct, and disturbing connections between these two crimes. As Stefan Ihrig shows in this first comprehensive study, many Germans sympathized with the Ottomans' longstanding repression of the Armenians and with the Turks' program of extermination during World War I"--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|>

3A766464520.jsonld

Nihon no minka senkyūhyakugojūgonen

Born from his fascination with ancient architecture and a personal rediscovery of its beauty through materials such as wood, stone, earth and thatch, the aspiring architecture student Yukio Futagawa set out in the mid-1950s to photograph minka, the traditional rural houses of Japan. This experience would be instrumental in shifting his lifes work toward photographing rather than creating architecture. This large-format compendium of Futagawas images of villages and homes captures not only the sequence of history but also the essence of Japanese culture at a time when much of the country remained agrarian, not yet subjected to more recent, rapid modernisation

[ "['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: Nihon no minka senkyūhyakugojūgonen - Document Abstract: Born from his fascination with ancient architecture and a personal rediscovery of its beauty through materials such as wood, stone, earth and thatch, the aspiring architecture student Yukio Futagawa set out in the mid-1950s to photograph minka, the traditional rural houses of Japan. This experience would be instrumental in shifting his lifes work toward photographing rather than creating architecture. This large-format compendium of Futagawas images of villages and homes captures not only the sequence of history but also the essence of Japanese culture at a time when much of the country remained agrarian, not yet subjected to more recent, rapid modernisation - 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|>

3A823689557.jsonld

A singularly unfeminine profession : one woman's journey in physics

"In 1981 Mary K Gaillard became the first woman on the physics faculty at the University of California at Berkeley. Her career as a theoretical physicist spanned the period from the inception -- in the late 1960s and early 1970s -- of what is now known as the Standard Model of particle physics and its experimental confirmation, culminating with the discovery of the Higgs particle in 2012. A Singularly Unfeminine Profession recounts Gaillard's experiences as a woman in a very male-dominated field, while tracing the development of the Standard Model as she witnessed it and participated in it. The generally nurturing environment of her childhood and college years, as well as experiences as an undergraduate in particle physics laboratories and as a graduate student at Columbia University --which cemented her passion for particle physics -- left her unprepared for the difficulties that she confronted as a second year graduate student in Paris, and later at CERN, another particle physics laboratory near Geneva, Switzerland. The development of the Standard Model, as well as attempts to go beyond it and aspects of early universe physics, are described through the lens of Gaillard's own work, in a language written for a lay audience."--

[ "['phy']", "['pae']", "['sow']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: A singularly unfeminine profession : one woman's journey in physics - Document Abstract: "In 1981 Mary K Gaillard became the first woman on the physics faculty at the University of California at Berkeley. Her career as a theoretical physicist spanned the period from the inception -- in the late 1960s and early 1970s -- of what is now known as the Standard Model of particle physics and its experimental confirmation, culminating with the discovery of the Higgs particle in 2012. A Singularly Unfeminine Profession recounts Gaillard's experiences as a woman in a very male-dominated field, while tracing the development of the Standard Model as she witnessed it and participated in it. The generally nurturing environment of her childhood and college years, as well as experiences as an undergraduate in particle physics laboratories and as a graduate student at Columbia University --which cemented her passion for particle physics -- left her unprepared for the difficulties that she confronted as a second year graduate student in Paris, and later at CERN, another particle physics laboratory near Geneva, Switzerland. The development of the Standard Model, as well as attempts to go beyond it and aspects of early universe physics, are described through the lens of Gaillard's own work, in a language written for a lay audience."-- - Document LIN Search class: ['phy'], ['pae'], ['sow'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1669553647.jsonld

Handbook on green growth

Contents: Introduction Roger Fouquet -- Part I. The growth strategy -- 1. Policies for green growth versus policies for no growth: A matter of timing / Richard G. Lipsey -- 2. The limits to green growth / Peter A. Victor and Martin Sers -- 3. Green "agrowth" - the next development stage of rich countries / Jeroen C.J.M. van den Bergh and Stefan Drews -- Part II. The potential for green growth and its impacts -- 4. Path-dependence, innovation and the economics of climate change / Philippe Aghion, Cameron Hepburn, Alex Teytelboym and Dimitri Zenghelis -- 5. Long-term productivity growth and the environment / Alex Bowen -- 6. The challenge of decoupling economic expansion and environmentally damaging energy uses: Can energy efficiency actions deliver cleaner economic expansion? / Karen Turner and Antonios Katris -- 7. Targeted technology strategies for low-carbon economic growth: Linking bottom-up and top-down assessments / Ian Sue Wing and Govinda Timilsina -- 8. Inclusive labour markets for green growth / Alex Bowen -- Part III. The drivers of green growth -- 9. Growth, structural transformation, and the new global agenda: What this means for China and the world / Ehtisham Ahmad, Isabella Neuweg and Nicholas Stern -- 10. Climate change policy, innovation and growth / Antoine Dechezleprêtre, Ralf Martin and Samuela Bassi -- 11. Financing green growth / Gregor Semieniuk and Mariana Mazzucato -- 12. Green startups and local knowledge bases: Newborn suppliers of energy-related technologies in Italian provinces / Alessandra Colombelli and Francesco Quatraro -- 13. Addressing the political economy of green industrial policy with economic geography / Maria Carvalho -- Part IV. Green transformations -- 14. The green growth economy as an engine of development: The case of China / John A. Matthews -- 15. Green growth in South Korea / Jae-Seung Lee -- 16. Reforming energy policy in India: Assessing the options / Ian Parry, Victor Mylonas and Nate Vernon -- 17. Green transformations and state bureaucracy in the global south / Markus Lederer, Linda Wallbott and Frauke Urban -- 18. Economic transformation and green growth for African economies / Russel Bishop and Milan Brahmbhatt -- Part V. Beyond green growth -- 19. Transitioning to smart green growth: Lessons from history / Carlota Perez -- 20. The invisible hand and the weightless economy / Danny Quah -- 21. The transition from a fossil-fuel economy to a knowledge economy / Roger Fouquet and Ralph Hippe -- Index. Economies around the world have arrived at a critical juncture: to continue to grow fuelled by fossil fuels and exacerbate climate change, or to move towards more sustainable, greener, growth. Choosing the latter is shown to help address climate change, as well as present new economic opportunities. This Handbook provides a deeper understanding of the concept of green growth, and highlights key lessons from the experience of green transformations across the world following a decade of ambitious stimulus packages and green reforms. With comprehensive chapters from key researchers in the field drawn from across the globe, the Handbook on Green Growth offers up to date and original analysis of the many facets of the phenomenon of green growth. Is economic growth desirable? When can economic growth and environmental policies work together? What are the key factors that will achieve green growth? What will be the multiple impacts of green growth? And, what have been the experiences of economies that have undertaken a green transformation? This Handbook will be a key resource for students and academics interested in economics, environmental and ecological studies, as well as for those specialising in environmental policy. It will also be a valuable tool for policy makers concerned about the dual objectives of stimulating economic growth and addressing environmental damage

[ "['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: Handbook on green growth - Document Abstract: Contents: Introduction Roger Fouquet -- Part I. The growth strategy -- 1. Policies for green growth versus policies for no growth: A matter of timing / Richard G. Lipsey -- 2. The limits to green growth / Peter A. Victor and Martin Sers -- 3. Green "agrowth" - the next development stage of rich countries / Jeroen C.J.M. van den Bergh and Stefan Drews -- Part II. The potential for green growth and its impacts -- 4. Path-dependence, innovation and the economics of climate change / Philippe Aghion, Cameron Hepburn, Alex Teytelboym and Dimitri Zenghelis -- 5. Long-term productivity growth and the environment / Alex Bowen -- 6. The challenge of decoupling economic expansion and environmentally damaging energy uses: Can energy efficiency actions deliver cleaner economic expansion? / Karen Turner and Antonios Katris -- 7. Targeted technology strategies for low-carbon economic growth: Linking bottom-up and top-down assessments / Ian Sue Wing and Govinda Timilsina -- 8. Inclusive labour markets for green growth / Alex Bowen -- Part III. The drivers of green growth -- 9. Growth, structural transformation, and the new global agenda: What this means for China and the world / Ehtisham Ahmad, Isabella Neuweg and Nicholas Stern -- 10. Climate change policy, innovation and growth / Antoine Dechezleprêtre, Ralf Martin and Samuela Bassi -- 11. Financing green growth / Gregor Semieniuk and Mariana Mazzucato -- 12. Green startups and local knowledge bases: Newborn suppliers of energy-related technologies in Italian provinces / Alessandra Colombelli and Francesco Quatraro -- 13. Addressing the political economy of green industrial policy with economic geography / Maria Carvalho -- Part IV. Green transformations -- 14. The green growth economy as an engine of development: The case of China / John A. Matthews -- 15. Green growth in South Korea / Jae-Seung Lee -- 16. Reforming energy policy in India: Assessing the options / Ian Parry, Victor Mylonas and Nate Vernon -- 17. Green transformations and state bureaucracy in the global south / Markus Lederer, Linda Wallbott and Frauke Urban -- 18. Economic transformation and green growth for African economies / Russel Bishop and Milan Brahmbhatt -- Part V. Beyond green growth -- 19. Transitioning to smart green growth: Lessons from history / Carlota Perez -- 20. The invisible hand and the weightless economy / Danny Quah -- 21. The transition from a fossil-fuel economy to a knowledge economy / Roger Fouquet and Ralph Hippe -- Index. Economies around the world have arrived at a critical juncture: to continue to grow fuelled by fossil fuels and exacerbate climate change, or to move towards more sustainable, greener, growth. Choosing the latter is shown to help address climate change, as well as present new economic opportunities. This Handbook provides a deeper understanding of the concept of green growth, and highlights key lessons from the experience of green transformations across the world following a decade of ambitious stimulus packages and green reforms. With comprehensive chapters from key researchers in the field drawn from across the globe, the Handbook on Green Growth offers up to date and original analysis of the many facets of the phenomenon of green growth. Is economic growth desirable? When can economic growth and environmental policies work together? What are the key factors that will achieve green growth? What will be the multiple impacts of green growth? And, what have been the experiences of economies that have undertaken a green transformation? This Handbook will be a key resource for students and academics interested in economics, environmental and ecological studies, as well as for those specialising in environmental policy. It will also be a valuable tool for policy makers concerned about the dual objectives of stimulating economic growth and addressing environmental damage - 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|>

3A733324452.jsonld

Weed anatomy

"Essential for all weed scientists, this book provides fully comprehensive coverage, including the world's fifty commercially most important species, with detailed, full color photographs throughout. Beginning with a general overview of weed anatomy, structured in a way similar to other classical plant anatomy textbooks, this book discusses monocots, dicots, brackens and horsetails with special reference to their anatomy. Plant scientists will appreciate the depth of detail found in this book"--

[ "['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: Weed anatomy - Document Abstract: "Essential for all weed scientists, this book provides fully comprehensive coverage, including the world's fifty commercially most important species, with detailed, full color photographs throughout. Beginning with a general overview of weed anatomy, structured in a way similar to other classical plant anatomy textbooks, this book discusses monocots, dicots, brackens and horsetails with special reference to their anatomy. Plant scientists will appreciate the depth of detail found in this book"-- - Document LIN Search class: ['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|>

3A277044766.jsonld

Protecting soldiers and mothers : the political origins of social policy in the United States

Understanding the origins of modern social provision in the United States -- Patronage democracy and distributive public policies in the nineteenth century -- Public aid for the worthy many: the expansion of benefits for veterans of the Civil War -- Reformist professionals as advocates of workingmen's insurance -- Help for the "army of labor"? trade unions and social legislation -- Progressive era politics and the defeat of social policies for workingmen and the elderly -- Expanding the separate sphere: women's civic action and political reforms in the early twentieth century -- Safeguarding the "mothers of the race": protective legislation for women workers -- An unusual victory for public benefits: the "wildfire spread"of mother's pensions -- Statebuilding for mothers and babies: the children's bureau and the Sheppard-Towner Act -- America's first modern social policies and their legacies

[ "['sow']", "['his']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Protecting soldiers and mothers : the political origins of social policy in the United States - Document Abstract: Understanding the origins of modern social provision in the United States -- Patronage democracy and distributive public policies in the nineteenth century -- Public aid for the worthy many: the expansion of benefits for veterans of the Civil War -- Reformist professionals as advocates of workingmen's insurance -- Help for the "army of labor"? trade unions and social legislation -- Progressive era politics and the defeat of social policies for workingmen and the elderly -- Expanding the separate sphere: women's civic action and political reforms in the early twentieth century -- Safeguarding the "mothers of the race": protective legislation for women workers -- An unusual victory for public benefits: the "wildfire spread"of mother's pensions -- Statebuilding for mothers and babies: the children's bureau and the Sheppard-Towner Act -- America's first modern social policies and their legacies - Document LIN Search class: ['sow'], ['his'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A796542929.jsonld

Manual of language acquisition

This manual contains overviews on language acquisition and distinguishes between first- and second-language acquisition. It also deals with Romance languages as foreign languages in the world and with language acquisition in some countries of the Romance-speaking world. This reference work will be helpful for researchers, students, and teachers interested in language acquisition in general and in Romance languages in particular This manual contains overviews on language acquisition and distinguishes between first- and second-language acquisition. It also deals with Romance languages as foreign languages in the world and with language acquisition in some countries of the Romance-speaking world. This reference work will be helpful for researchers, students, and teachers interested in language acquisition in general and in Romance languages in particular. Christiane Fäcke, University of Augsburg, Germany.

[ "['lit']", "['lin']", "['pae']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Manual of language acquisition - Document Abstract: This manual contains overviews on language acquisition and distinguishes between first- and second-language acquisition. It also deals with Romance languages as foreign languages in the world and with language acquisition in some countries of the Romance-speaking world. This reference work will be helpful for researchers, students, and teachers interested in language acquisition in general and in Romance languages in particular This manual contains overviews on language acquisition and distinguishes between first- and second-language acquisition. It also deals with Romance languages as foreign languages in the world and with language acquisition in some countries of the Romance-speaking world. This reference work will be helpful for researchers, students, and teachers interested in language acquisition in general and in Romance languages in particular. Christiane Fäcke, University of Augsburg, Germany. - Document LIN Search class: ['lit'], ['lin'], ['pae'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A255312806.jsonld

Japan and world depression : then and now; essays in memory of E. F. Penrose

Introduction / Ronald Dore and Radha Sinha -- Memoirs of Japan, 1925-30 / E.F. Penrose -- Depression and protection / Michael French and Thomas Wilson -- Japan and two world economic depressions / Martin Bronfenbrenner -- The Japanese economy in the interwar period / Takafusa Nakamura -- Depressions in Japan / Tuvia Blumenthal -- How fragile a super state? / Ronald Dore -- Japanese public opinion and policies on security and defence / J.A.A. Stockwin -- Britain's view of the Japanese economy in the early Shōwa period / Ian Nish -- Soviet-Japanese relations, past and present / Alec Nove -- Japan's economic experience in China before the establishment of the People's Republic of China / Christopher Howe -- Variations on a pan-Asianist theme / Jean-Pierre Lehmann

[ "['his']", "['oek']" ]

<|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 30 May 2025 You are a highly skilled text processing assistant specialized in analyzing and extracting structured information from text. Your task is to identify entities relevant to a given domain and format the output consistently. You excel at understanding context, adhering to instructions, and providing accurate results. Your responses should be clear, concise, and follow any specified requirements, such as output format conventions.<|eot_id|><|start_header_id|>user<|end_header_id|> ### Act as: You are a librarian and an expert in the GND (the integrated authority files): Code Classification Number ... Definition Source URL 0 gnd:4003694-7 00 ... NaN NaN 1 gnd:4032393-6 00 ... Verknüpfe mit Anwendungsgebiet NaN 2 gnd:4038971-6 00 ... NaN NaN 3 gnd:4043744-9 00 ... Allgemeinbegriff, verknüpfe mit Anwendungsgebiet NaN 4 gnd:4048300-9 00 ... Etwas, was einer Sache ein bestimmtes (äußere... NaN ... ... ... ... ... ... 204734 gnd:7753641-1 36 ... NaN NaN 204735 gnd:7755608-2 36 ... NaN NaN 204736 gnd:7758731-5 36 ... NaN NaN 204737 gnd:7842847-6 36 ... NaN NaN 204738 gnd:1163295434 36 ... NaN https://www.airfix.com/uk-en/ [204739 rows x 9 columns] You also have the knowledge of LIN Search classification: - arc Architecture - bau Civil engineering - ber Mining - bio Life Science - cet Chemical and environmental engineering - che Chemistry - elt Electrical engineering - fer Material science - geo Earth science - his History - hor Horticulture - inf Computer science - jur Law - lin Linguistics - lit Literature Studies - mas Mechanical engineering, energy technology - mat Mathematics - med Medical technology - meda Medicine - oek Economics - pae Educational science - phi Philosophy - phy Physics - rel Study of religions - rest Other subjects - sow Social sciences - spo Sports science - tec Engineering - ver Traffic engineering ### Given the following details: - Document Title: Japan and world depression : then and now; essays in memory of E. F. Penrose - Document Abstract: Introduction / Ronald Dore and Radha Sinha -- Memoirs of Japan, 1925-30 / E.F. Penrose -- Depression and protection / Michael French and Thomas Wilson -- Japan and two world economic depressions / Martin Bronfenbrenner -- The Japanese economy in the interwar period / Takafusa Nakamura -- Depressions in Japan / Tuvia Blumenthal -- How fragile a super state? / Ronald Dore -- Japanese public opinion and policies on security and defence / J.A.A. Stockwin -- Britain's view of the Japanese economy in the early Shōwa period / Ian Nish -- Soviet-Japanese relations, past and present / Alec Nove -- Japan's economic experience in China before the establishment of the People's Republic of China / Christopher Howe -- Variations on a pan-Asianist theme / Jean-Pierre Lehmann - Document LIN Search class: ['his'], ['oek'] ### Your task: Using your expert knowledge in the conventional use of the GND, you are now tasked to assign **exactly 20** subject titles to documents according to the database of GND subject titles. Your task is to annotate documents with GND subjects in JSON format based on their content (title and abstract). Use your knowledge of GND annotations and follow the established patterns from past training data. 1. Analyze the title, abstract and LIN Search class of a document and infer GND subject annotations. 2. Produce the output in structured JSON format, maintaining consistency with examples provided. Rules: - Always extract subjects from the core concepts mentioned in the title/abstract. - Include synonyms, variant names, and related subjects in arrays. - Follow the structure exactly as shown in the examples. - Always quote the JSON format output between ```json and ```. - No more than 20 alternate names is allowed for each subject. - No more than 20 related subjects is allowed for each subject. ### Instructions: 1. Analyze the provided document to identify its core themes, topics, and concepts. 2. Select the most appropriate **20 unique GND subject titles** that align with the content, in the same style as the dataset you were trained on. 3. Rank the GND subject titles according to the relevance to the document, and the likelihood they would be assigned by an expert librarian. 4. Format the output as JSON, adhering to the structure provided below. For each of the subject titles, reply with the name of the subject titles, its names and related subjects in a list. 5. Make sure to complete the JSON output before you hit the maximum token limit, to ensure the correctness of the JSON format. ### Output example: ```json { "document_title": "Energie- und Lademanagement für eine CO2-neutralen Beladung von batterieelektrisch betriebenen Service-Fahrzeugen auf dem Flughafenvorfeld", "assigned_subject_titles": [ { "Code": "gnd-4014736-8", "Name": "Energieversorgung", "Alternate Name": ["Energie", "Energieversorgungssystem", "Energiesystem"], "Related Subjects": ["Versorgung", "Energieerzeugung", "Energiewirtschaft"] }, { "Code": "gnd-4068598-6", "Name": "Erneuerbare Energien", "Alternate Name": ["Sanfte Energie", "Erneuerbare Energiequelle", "Regenerative Energiequelle", "Regenerative Energie", "Erneuerbare Energie", "Alternativenergie", "Alternativenergien", "Regenerative Energien", "Alternative Energiequelle", "Grüne Energie", "Green energy"], "Related Subjects": ["Energiequelle", "Erneuerbare Ressourcen"] }, ... ] } ```<|eot_id|><|start_header_id|>assistant<|end_header_id|>

3A1654676039.jsonld

Quantitative in silico chromatography : computational modelling of molecular interactions

The coupling of mass spectrometry or nuclear magnetic resonance to chromatography has broadened the possibilities for determining organic reaction mechanisms. And while many results have been published reporting these, even more can be achieved through modern computational methods. This book presents the possibilities for characterising biological applications by combining analytical and computational chemistries

[ "['che']", "['bio']", "['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: Quantitative in silico chromatography : computational modelling of molecular interactions - Document Abstract: The coupling of mass spectrometry or nuclear magnetic resonance to chromatography has broadened the possibilities for determining organic reaction mechanisms. And while many results have been published reporting these, even more can be achieved through modern computational methods. This book presents the possibilities for characterising biological applications by combining analytical and computational chemistries - Document LIN Search class: ['che'], ['bio'], ['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|>