Triple
T2299974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Angers |
E51706
|
entity |
| Predicate | isComprehensiveUniversity |
P38593
|
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: [University of Angers, isComprehensiveUniversity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isComprehensiveUniversity Context triple: [University of Angers, isComprehensiveUniversity, true]
-
A.
isResearchUniversity
Indicates that an institution functions primarily as a research-focused university, emphasizing the creation of new knowledge alongside advanced education.
-
B.
isPublicUniversityCampus
Indicates that a given campus belongs to and is operated as part of a public (state- or government-funded) university.
-
C.
hasCentralUniversityStatus
Indicates that an institution holds the official designation or recognition as a central or nationally governed university.
-
D.
hasPublicUniversityCampus
Indicates that a public university maintains or operates a campus at the specified location.
-
E.
includesPublicUniversities
Indicates that the subject set or collection contains one or more public universities as members.
- F. None of above. chosen
Provenance (4 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcbab15488190bc8d2345f9d9f2bd |
completed | March 7, 2026, 6:54 a.m. |
Created at: March 4, 2026, 7:49 p.m.