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.