Triple
T37338225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 NCAA Division I men's basketball tournament |
E926956
|
entity |
| Predicate | finalFourCount_Duke |
P12670
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [1994 NCAA Division I men's basketball tournament, finalFourCount_Duke, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalFourCount_Duke Context triple: [1994 NCAA Division I men's basketball tournament, finalFourCount_Duke, 8]
-
A.
finalFourCountForNorthCarolina
Indicates the number of times the University of North Carolina’s men’s basketball team has reached the NCAA Final Four.
-
B.
finalFourCountCincinnati
Indicates the number of times Cincinnati has reached the Final Four in NCAA basketball tournaments.
-
C.
FinalFourAppearances
chosen
Indicates the number of times a team has reached the semifinal round (Final Four) of a tournament or championship.
-
D.
finalFourCountForChampion
Indicates the number of times a champion has reached the Final Four in the relevant competition or tournament.
-
E.
finalFourCount_Tennessee
Indicates the number of times Tennessee has reached the NCAA basketball Final Four.
- 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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 3, 2026, 4:16 p.m.