Triple
T1100256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big South–OVC Football Association |
E24361
|
entity |
| Predicate | isFootballOnly |
P7457
|
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: [Big South–OVC Football Association, isFootballOnly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFootballOnly Context triple: [Big South–OVC Football Association, isFootballOnly, true]
-
A.
isFootballOnlyConference
chosen
Indicates that the conference is dedicated exclusively to football and does not sponsor other sports.
-
B.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
C.
hasEsport
Indicates that an entity is associated with or participates in a specific electronic sports (esports) activity or competition.
-
D.
isGridironFootballLeague
Indicates that the subject is a league or organized competition specifically for gridiron football.
-
E.
primarySport
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9be92688190838ce35cd67e01f3 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b745ef3481909a7ce4647c8567b3 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.