Triple
T13894295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CGE |
E334048
|
entity |
| Predicate | representsLeadingInstitutions |
P111917
|
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: [CGE, representsLeadingInstitutions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsLeadingInstitutions Context triple: [CGE, representsLeadingInstitutions, true]
-
A.
representsInstitutionState
Indicates that an entity denotes or embodies the current status, condition, or situation of an institution.
-
B.
representsAcademicInstitutionFoundedIn
Indicates that an academic institution was established or founded in a specific year or time period.
-
C.
representsEducationalInstitution
Indicates that one entity serves as an educational institution for, or in relation to, another entity.
-
D.
representsEducationalInstitutionType
Indicates that an entity is associated with or classified by a specific type or category of educational institution.
-
E.
sponsoringInstitution
Indicates that an institution provides financial or organizational support to enable or underwrite an activity, project, event, or entity.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69dd464b1ab48190ae50bfc902bf6ef7 |
completed | April 13, 2026, 7:38 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:15 p.m.