Triple
T34962294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 NCAA Division I women's basketball championship |
E1008290
|
entity |
| Predicate | finalFourCount_Tennessee |
P197430
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [1989 NCAA Division I women's basketball championship, finalFourCount_Tennessee, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalFourCount_Tennessee Context triple: [1989 NCAA Division I women's basketball championship, finalFourCount_Tennessee, 3]
-
A.
finalFourCountCincinnati
Indicates the number of times Cincinnati has reached the Final Four in NCAA basketball tournaments.
-
B.
numberOfFinalFourTeams
Indicates the count of teams that reached the Final Four stage in a given tournament or competition.
-
C.
finalFourCountFlorida
Indicates the number of times a Florida team has reached the Final Four in a given competition or context.
-
D.
finalFourCountForNorthCarolina
Indicates the number of times the University of North Carolina’s men’s basketball team has reached the NCAA Final Four.
-
E.
finalFourCountForChampion
Indicates the number of times a champion has reached the Final Four in the relevant competition or tournament.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
| PDg | Predicate description generation | batch_69fe9137730c81909d1d57c30566c89a |
completed | May 9, 2026, 1:43 a.m. |
Created at: May 3, 2026, 4 p.m.