Triple
T22509958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford University men’s golf team |
E556492
|
entity |
| Predicate | NCAATeamTitlesApproximateCount |
P24536
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Stanford University men’s golf team, NCAATeamTitlesApproximateCount, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAATeamTitlesApproximateCount Context triple: [Stanford University men’s golf team, NCAATeamTitlesApproximateCount, multiple]
-
A.
numberOfNBLChampionships
Indicates the number of National Basketball League (NBL) championships that an entity has won.
-
B.
nationalTeamTitleCount
Indicates the number of titles or championships a national team has won.
-
C.
NCAATournamentWins
Indicates the number of games a team has won in NCAA basketball tournaments.
-
D.
NCAAChampionshipCount
chosen
Indicates the number of NCAA championships an entity has won.
-
E.
NCAANationalChampionshipYearsApprox
Indicates the approximate years in which an entity won the NCAA national championship.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5faf6c8190ba0513be9ae7d128 |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.