Triple
T6562373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Coast Athletic Conference |
E153813
|
entity |
| Predicate | footballMembership |
P71821
|
FINISHED |
| Object | non-scholarship |
—
|
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: non-scholarship | Statement: [North Coast Athletic Conference, footballMembership, non-scholarship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballMembership Context triple: [North Coast Athletic Conference, footballMembership, non-scholarship]
-
A.
fifaMembership
Indicates that an entity is a member association or organization officially affiliated with FIFA.
-
B.
typeOfMembershipInFIFA
Indicates the specific category or level of a country's affiliation or membership status within FIFA.
-
C.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
-
D.
associatedWithFootballClub
Indicates that there is a relationship of affiliation or connection between an entity and a football club.
-
E.
associationFootballClub
Indicates that the subject is an association football (soccer) club, i.e., an organized team entity that plays the sport of association football.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c1b007148190b5164d6d09584cdf |
completed | March 27, 2026, 5:43 p.m. |
Created at: March 27, 2026, 1:52 p.m.