Triple
T7094911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1977 NCAA Division I men's basketball tournament |
E165298
|
entity |
| Predicate | championFirstNCAATitle |
P6611
|
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: [1977 NCAA Division I men's basketball tournament, championFirstNCAATitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championFirstNCAATitle Context triple: [1977 NCAA Division I men's basketball tournament, championFirstNCAATitle, true]
-
A.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
B.
firstNCAATournamentWin
Indicates the event in which an entity achieves its first-ever victory in an NCAA tournament game.
-
C.
firstIndividualNCAATitlesCount
Indicates the number of NCAA titles won by the first individual in the relationship.
-
D.
NCAATournamentMostOutstandingPlayer
Indicates that the subject was selected as the Most Outstanding Player of the NCAA Tournament in the relevant season or event.
-
E.
NCAAChampionship
chosen
Indicates that an entity has won, holds, or is otherwise associated with an NCAA (National Collegiate Athletic Association) championship title in a particular sport or event.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5530f2081908ac969ddfa7e9b5a |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.