Triple
T23712764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1981 NCAA Division I men's basketball championship |
E585910
|
entity |
| Predicate | titleCountForWinner |
P25122
|
FINISHED |
| Object | 4th NCAA championship for Indiana |
—
|
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: 4th NCAA championship for Indiana | Statement: [1981 NCAA Division I men's basketball championship, titleCountForWinner, 4th NCAA championship for Indiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCountForWinner Context triple: [1981 NCAA Division I men's basketball championship, titleCountForWinner, 4th NCAA championship for Indiana]
-
A.
winnerTitleCount
chosen
Indicates the number of titles or championships an entity has won.
-
B.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
C.
titleCount
Indicates the number of distinct titles associated with an entity within a given context.
-
D.
delegateCountWinner
Indicates that the referenced entity is the candidate or option that has secured the highest number of delegates in a given selection or election process.
-
E.
titleWinner
Indicates that an entity has won a specific title, championship, or formal award.
- 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_69e24905f77881908194d645676acd60 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b7784cd08190a442dd41d56b92b1 |
completed | April 29, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:54 p.m.