Triple
T2452844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England Small College Athletic Conference |
E53745
|
entity |
| Predicate | memberInstitutionSelectivity |
P26524
|
FINISHED |
| Object | highly selective |
—
|
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: highly selective | Statement: [New England Small College Athletic Conference, memberInstitutionSelectivity, highly selective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberInstitutionSelectivity Context triple: [New England Small College Athletic Conference, memberInstitutionSelectivity, highly selective]
-
A.
memberInstitutionCharacteristic
chosen
Indicates that a specific characteristic or attribute is associated with a member institution within a larger organization or system.
-
B.
includesInstitution
Indicates that one entity contains, encompasses, or has as a member a particular institution.
-
C.
memberInstitutionsOffer
Indicates that the member institutions provide or make available a particular service, program, or resource.
-
D.
grantedByInstitution
Indicates that something (such as a status, permission, or resource) is conferred or authorized by an institution.
-
E.
hasNumberOfMemberInstitutions
Indicates the quantitative count of member institutions associated with a given entity.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
Created at: March 6, 2026, 9:43 p.m.