Triple
T5657443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division II Men's Basketball Championship |
E124652
|
entity |
| Predicate | numberOfDivisionsInNCAA |
P65591
|
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: [NCAA Division II Men's Basketball Championship, numberOfDivisionsInNCAA, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDivisionsInNCAA Context triple: [NCAA Division II Men's Basketball Championship, numberOfDivisionsInNCAA, 3]
-
A.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
-
B.
NCAADivision
Indicates the competitive division within the NCAA in which an institution or team participates.
-
C.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
D.
NCAADivisionIITournamentAppearances
Indicates that an entity has participated in the NCAA Division II basketball tournament at least once.
-
E.
NCAATournamentLevel
Indicates the competitive round or stage an entity has reached or participated in within the NCAA tournament structure.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c0236d3f94819095111c41a323612d |
completed | March 22, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69c021ba4ec481909db8cdbf0e907dd6 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c0236af5308190b3d698eadf7bcd2b |
completed | March 22, 2026, 5:14 p.m. |
Created at: March 22, 2026, 3:42 p.m.