Triple
T880599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université du Québec à Montréal |
E19016
|
entity |
| Predicate | isPublicUniversity |
P11109
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 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: true | Statement: [Université du Québec à Montréal, isPublicUniversity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPublicUniversity Context triple: [Université du Québec à Montréal, isPublicUniversity, true]
-
A.
isPublicUniversityCampus
Indicates that a given campus belongs to and is operated as part of a public (state- or government-funded) university.
-
B.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
-
C.
includesPublicUniversities
Indicates that the subject set or collection contains one or more public universities as members.
-
D.
isPublicInstitutionCampus
Indicates that a given campus belongs to or is operated by a public (state- or government-run) institution.
-
E.
isPublicInstitution
chosen
Indicates that an entity operates as a publicly governed or state-funded institution, typically serving the general public under public law or oversight.
- F. None of above.
Provenance (3 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4accb653c81909fe0753f78145be9 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8eca748190b58e0f08b30fba43 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.