Triple

T17051686
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Social Sciences, University of York E413711 entity
Predicate hasDepartment P35 FINISHED
Object Department of Politics, University of York
The Department of Politics at the University of York is a leading UK academic department specializing in the study and research of politics, international relations, and related social and public policy issues.
E413711 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Politics, University of York | Statement: [Faculty of Social Sciences, University of York, hasDepartment, Department of Politics, University of York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Politics, University of York
Context triple: [Faculty of Social Sciences, University of York, hasDepartment, Department of Politics, University of York]
  • A. UCL Department of Political Science
    The UCL Department of Political Science is a leading UK academic department specializing in political science, public policy, and international relations, known for its research-intensive programs and policy engagement.
  • B. Department of Politics and International Relations, University of Oxford
    The Department of Politics and International Relations at the University of Oxford is a leading academic centre for the study and research of politics, government, and international affairs.
  • C. Department of Politics, Philosophy and Religion, Lancaster University
    The Department of Politics, Philosophy and Religion at Lancaster University is an interdisciplinary academic unit that combines political science, philosophical inquiry and religious studies in both teaching and research.
  • D. Department of Politics and International Studies
    The Department of Politics and International Studies at the University of Warwick is an academic department specializing in the study and research of politics, international relations, and global affairs.
  • E. Faculty of Social Sciences, University of York
    The Faculty of Social Sciences at the University of York is an academic division that brings together departments such as Politics, Economics, Education, and related disciplines focused on the study of society and human behavior.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Politics, University of York
Triple: [Faculty of Social Sciences, University of York, hasDepartment, Department of Politics, University of York]
Generated description
The Department of Politics at the University of York is a leading UK academic department specializing in the study and research of politics, international relations, and related social and public policy issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Politics, University of York
Target entity description: The Department of Politics at the University of York is a leading UK academic department specializing in the study and research of politics, international relations, and related social and public policy issues.
  • A. UCL Department of Political Science
    The UCL Department of Political Science is a leading UK academic department specializing in political science, public policy, and international relations, known for its research-intensive programs and policy engagement.
  • B. Department of Politics and International Relations, University of Oxford
    The Department of Politics and International Relations at the University of Oxford is a leading academic centre for the study and research of politics, government, and international affairs.
  • C. Department of Politics, Philosophy and Religion, Lancaster University
    The Department of Politics, Philosophy and Religion at Lancaster University is an interdisciplinary academic unit that combines political science, philosophical inquiry and religious studies in both teaching and research.
  • D. Department of Politics and International Studies
    The Department of Politics and International Studies at the University of Warwick is an academic department specializing in the study and research of politics, international relations, and global affairs.
  • E. Faculty of Social Sciences, University of York chosen
    The Faculty of Social Sciences at the University of York is an academic division that brings together departments such as Politics, Economics, Education, and related disciplines focused on the study of society and human behavior.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa26e84819098b41ae15618e813 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012343eca0819086a07511c5d22878 completed May 11, 2026, 12:31 a.m.
NEDg Description generation batch_6a012585a1548190a112f55e2d84ccac completed May 11, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0126536c348190b9b2eadb4969f8c2 completed May 11, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:34 a.m.