Triple
T716505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Arts (McGill University) |
E14325
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Centre for the Study of Democratic Citizenship (McGill University)
The Centre for the Study of Democratic Citizenship at McGill University is a research hub that investigates how citizens engage with democratic politics, focusing on political behavior, public opinion, and the functioning of democratic institutions.
|
E84716
|
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: Centre for the Study of Democratic Citizenship (McGill University) | Statement: [Faculty of Arts (McGill University), hasUnit, Centre for the Study of Democratic Citizenship (McGill University)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for the Study of Democratic Citizenship (McGill University) Context triple: [Faculty of Arts (McGill University), hasUnit, Centre for the Study of Democratic Citizenship (McGill University)]
-
A.
Faculty of Arts and Science, University of Toronto
The Faculty of Arts and Science at the University of Toronto is the university’s largest academic division, encompassing a wide range of undergraduate and graduate programs in the humanities, social sciences, and natural sciences across its affiliated colleges.
-
B.
Center for Public Research and Leadership
The Center for Public Research and Leadership is an interdisciplinary initiative at Columbia University that trains students and professionals to improve public education systems and other public-sector institutions through research, consulting, and leadership development.
-
C.
Ash Center for Democratic Governance and Innovation
The Ash Center for Democratic Governance and Innovation is a research and policy center at Harvard focused on strengthening democracy, improving public governance, and fostering innovative solutions in the public sector worldwide.
-
D.
Geneva Centre for Humanitarian Studies
The Geneva Centre for Humanitarian Studies is an academic and training institution in Geneva that specializes in research and education on humanitarian action, crisis response, and related policy.
-
E.
University of Ottawa
The University of Ottawa is a major bilingual public research university in Canada known for its strong programs in law, social sciences, and health 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: Centre for the Study of Democratic Citizenship (McGill University) Triple: [Faculty of Arts (McGill University), hasUnit, Centre for the Study of Democratic Citizenship (McGill University)]
Generated description
The Centre for the Study of Democratic Citizenship at McGill University is a research hub that investigates how citizens engage with democratic politics, focusing on political behavior, public opinion, and the functioning of democratic institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre for the Study of Democratic Citizenship (McGill University) Target entity description: The Centre for the Study of Democratic Citizenship at McGill University is a research hub that investigates how citizens engage with democratic politics, focusing on political behavior, public opinion, and the functioning of democratic institutions.
-
A.
Faculty of Arts and Science, University of Toronto
The Faculty of Arts and Science at the University of Toronto is the university’s largest academic division, encompassing a wide range of undergraduate and graduate programs in the humanities, social sciences, and natural sciences across its affiliated colleges.
-
B.
Center for Public Research and Leadership
The Center for Public Research and Leadership is an interdisciplinary initiative at Columbia University that trains students and professionals to improve public education systems and other public-sector institutions through research, consulting, and leadership development.
-
C.
Ash Center for Democratic Governance and Innovation
The Ash Center for Democratic Governance and Innovation is a research and policy center at Harvard focused on strengthening democracy, improving public governance, and fostering innovative solutions in the public sector worldwide.
-
D.
Geneva Centre for Humanitarian Studies
The Geneva Centre for Humanitarian Studies is an academic and training institution in Geneva that specializes in research and education on humanitarian action, crisis response, and related policy.
-
E.
University of Ottawa
The University of Ottawa is a major bilingual public research university in Canada known for its strong programs in law, social sciences, and health sciences.
- F. None of above. chosen
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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a57649dc8190bfdee2f9c0c90415 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcb5578c8190b5380f1994fdb4d2 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a601200cb08190927e83db83b3affe |
completed | March 2, 2026, 9:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a601b8ee908190b7e617efe34f3d7a |
completed | March 2, 2026, 9:31 p.m. |
Created at: March 1, 2026, 7:37 p.m.