Triple
T6146935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 NCAA Division I men's basketball tournament |
E137100
|
entity |
| Predicate | runnerUpConsecutiveFinals |
P11630
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [2011 NCAA Division I men's basketball tournament, runnerUpConsecutiveFinals, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpConsecutiveFinals Context triple: [2011 NCAA Division I men's basketball tournament, runnerUpConsecutiveFinals, 2]
-
A.
runnerUpConsecutiveAppearances
chosen
Indicates that an entity has achieved runner-up status in a competition for a specified number of consecutive appearances or editions.
-
B.
runnerUpPreviousAppearance
Indicates that an entity finished as the runner-up in its immediately preceding appearance or participation in a given event or context.
-
C.
mostConsecutiveWinsCount
Indicates the highest number of wins achieved in a row within a given sequence or context.
-
D.
numberOfGamesInFinals
Indicates the total count of games played in the finals stage of a competition or series.
-
E.
previousFinals
Indicates that one entity represents a past or prior finals event or appearance in relation to another entity.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cdeeaa88190948d9db6eb2dbf46 |
completed | March 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:16 p.m.