Triple
T7513301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Northeast Athletic Conference |
E177576
|
entity |
| Predicate | hasMemberInstitutionsType |
P55410
|
FINISHED |
| Object | private colleges |
—
|
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: private colleges | Statement: [Great Northeast Athletic Conference, hasMemberInstitutionsType, private colleges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberInstitutionsType Context triple: [Great Northeast Athletic Conference, hasMemberInstitutionsType, private colleges]
-
A.
hasNumberOfMemberInstitutions
Indicates the quantitative count of member institutions associated with a given entity.
-
B.
hasMemberOrganizationsIn
Indicates that an entity includes or comprises member organizations that are located in or associated with a specified place or region.
-
C.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
D.
hasPrimaryInstitutionType
chosen
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
-
E.
hasKeyInstitutionType
Indicates that an entity is associated with a specific type or category of key institution.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5d52b2c8190ba32b1575756fa7c |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:45 p.m.