Triple
T654131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université de Montréal |
E11608
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object |
CREPUQ
CREPUQ is a Quebec-based consortium of universities that coordinates collaboration, policy, and shared services among its member institutions.
|
E81965
|
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: CREPUQ | Statement: [Université de Montréal, affiliation, CREPUQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CREPUQ Context triple: [Université de Montréal, affiliation, CREPUQ]
-
A.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
B.
Menetou-Salon
Menetou-Salon is a French wine appellation in the Loire Valley renowned for its crisp, aromatic white wines primarily made from Sauvignon Blanc.
-
C.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
D.
Préféte Duffaut
Préféte Duffaut was a renowned Haitian painter celebrated for his imaginative, dreamlike cityscapes and significant contributions to Haitian naïve art.
-
E.
Honoré
Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
- 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: CREPUQ Triple: [Université de Montréal, affiliation, CREPUQ]
Generated description
CREPUQ is a Quebec-based consortium of universities that coordinates collaboration, policy, and shared services among its member institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CREPUQ Target entity description: CREPUQ is a Quebec-based consortium of universities that coordinates collaboration, policy, and shared services among its member institutions.
-
A.
Boncourt
Boncourt is a locality known for its historic Château de Boncourt, reflecting its cultural and architectural heritage.
-
B.
Menetou-Salon
Menetou-Salon is a French wine appellation in the Loire Valley renowned for its crisp, aromatic white wines primarily made from Sauvignon Blanc.
-
C.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
D.
Préféte Duffaut
Préféte Duffaut was a renowned Haitian painter celebrated for his imaginative, dreamlike cityscapes and significant contributions to Haitian naïve art.
-
E.
Honoré
Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4bb5b881908a18b5ec1c94e0cf |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a591486b708190b0191e958c6c8851 |
completed | March 2, 2026, 1:31 p.m. |
| NEDg | Description generation | batch_69a592095c7881909c7bdeb5ac5a2cdd |
completed | March 2, 2026, 1:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a595bf289c8190971799c6942f29e3 |
completed | March 2, 2026, 1:50 p.m. |
Created at: March 1, 2026, 7:36 p.m.