Triple
T5475134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Midwest Conference |
E122933
|
entity |
| Predicate | sponsoredSportLevel |
P24551
|
FINISHED |
| Object | Division I basketball |
—
|
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: Division I basketball | Statement: [Great Midwest Conference, sponsoredSportLevel, Division I basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsoredSportLevel Context triple: [Great Midwest Conference, sponsoredSportLevel, Division I basketball]
-
A.
sportsSponsored
Indicates that one entity provides financial or material sponsorship to support another entity’s sports-related activities or events.
-
B.
sponsorSport
Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
-
C.
sponsorLevel
Indicates the degree or tier of sponsorship that one entity provides to another.
-
D.
representsSportLevel
chosen
Indicates that an entity participates in or is associated with a particular level or tier within a sport.
-
E.
alsoSponsorsSport
Indicates that an entity that sponsors one sport also sponsors another sport.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd923465c88190ad9c1b75b268f7ca |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.