Triple
T1461719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountain West Conference |
E31525
|
entity |
| Predicate | memberInstitutionLevel |
P26524
|
FINISHED |
| Object | four-year institutions |
—
|
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: four-year institutions | Statement: [Mountain West Conference, memberInstitutionLevel, four-year institutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberInstitutionLevel Context triple: [Mountain West Conference, memberInstitutionLevel, four-year institutions]
-
A.
memberInstitutionCharacteristic
chosen
Indicates that a specific characteristic or attribute is associated with a member institution within a larger organization or system.
-
B.
hasNumberOfMemberInstitutions
Indicates the quantitative count of member institutions associated with a given entity.
-
C.
memberInstitutionsOffer
Indicates that the member institutions provide or make available a particular service, program, or resource.
-
D.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
E.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59ecb60819082217b034e18381f |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.