Triple
T17015626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IG Patel Professor of Economics and Government |
E412812
|
entity |
| Predicate | hostDepartment |
P95215
|
FINISHED |
| Object |
Department of Government, London School of Economics and Political Science
The Department of Government at the London School of Economics and Political Science is a leading academic department specializing in political science and public policy research and education within a globally renowned social science university.
|
E1246735
|
NE FINISHED |
How this triple was built (5 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 Government, London School of Economics and Political Science | Statement: [IG Patel Professor of Economics and Government, hostDepartment, Department of Government, London School of Economics and Political Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Government, London School of Economics and Political Science Context triple: [IG Patel Professor of Economics and Government, hostDepartment, Department of Government, London School of Economics and Political Science]
-
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 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.
-
C.
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.
-
D.
School of Politics and International Relations, Queen Mary University of London
The School of Politics and International Relations at Queen Mary University of London is an academic department specializing in the study and research of politics, international relations, and related social sciences.
-
E.
Department of Politics and International Studies, University of Cambridge
The Department of Politics and International Studies at the University of Cambridge is a leading academic centre for the study and research of politics, international relations, and related social sciences.
- 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 Government, London School of Economics and Political Science Triple: [IG Patel Professor of Economics and Government, hostDepartment, Department of Government, London School of Economics and Political Science]
Generated description
The Department of Government at the London School of Economics and Political Science is a leading academic department specializing in political science and public policy research and education within a globally renowned social science university.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Government, London School of Economics and Political Science Target entity description: The Department of Government at the London School of Economics and Political Science is a leading academic department specializing in political science and public policy research and education within a globally renowned social science university.
-
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 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.
-
C.
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.
-
D.
School of Politics and International Relations, Queen Mary University of London
The School of Politics and International Relations at Queen Mary University of London is an academic department specializing in the study and research of politics, international relations, and related social sciences.
-
E.
Department of Politics and International Studies, University of Cambridge
The Department of Politics and International Studies at the University of Cambridge is a leading academic centre for the study and research of politics, international relations, and related social sciences.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostDepartment Context triple: [IG Patel Professor of Economics and Government, hostDepartment, Department of Government, London School of Economics and Political Science]
-
A.
basedInDepartment
chosen
Indicates that an entity operates or has its primary affiliation within a specific department.
-
B.
department
Indicates that one entity functions as an organizational unit or division within another, typically larger, entity.
-
C.
laterDepartment
Indicates that one department occurs or is considered after another in a defined ordering or sequence.
-
D.
propDepartment
Indicates that one entity functions as a department or organizational subdivision associated with another entity.
-
E.
departmentNumber
Indicates the specific numeric code assigned to identify a particular department within an organization or system.
- F. None of above.
Provenance (6 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47f198c8190b0473f638101f606 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4ba2a88190a49d355836ff1dcf |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011d5d720c8190ba6f7146a8a5f7f4 |
completed | May 11, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011dd998888190a60d3880fd5c20c2 |
completed | May 11, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.