Triple
T23673977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 NCAA Division I men's basketball tournament |
E584815
|
entity |
| Predicate | championTitleCountOnCourt |
P152935
|
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: [2012 NCAA Division I men's basketball tournament, championTitleCountOnCourt, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championTitleCountOnCourt Context triple: [2012 NCAA Division I men's basketball tournament, championTitleCountOnCourt, 8]
-
A.
numberOfOpenChampionshipsWon
Indicates the total count of Open Championships that an entity has won.
-
B.
championTitleCountFranchise
Indicates the number of championship titles a franchise has won.
-
C.
numberOfTitleDefenses
Indicates the number of times an entity has successfully defended a previously won title or championship.
-
D.
majorChampionshipWins
Indicates the number of major championship titles an entity has won.
-
E.
championConsecutiveTitlesStart
Indicates the point in time or event at which an entity begins a streak of winning championship titles in consecutive editions of a competition.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f1dee08190bfe78564c65f01ad |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:51 p.m.