Triple
T12994638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCLA Bruins men's soccer |
E322003
|
entity |
| Predicate | NCAATournamentTitles |
P24536
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [UCLA Bruins men's soccer, NCAATournamentTitles, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAATournamentTitles Context triple: [UCLA Bruins men's soccer, NCAATournamentTitles, 4]
-
A.
NCAATournamentRecord
Indicates a team's overall performance record (wins and losses) in NCAA tournament competition.
-
B.
NCAATournamentAppearance
Indicates that an entity has participated in at least one NCAA basketball tournament.
-
C.
NCAAChampionshipCount
chosen
Indicates the number of NCAA championships an entity has won.
-
D.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
E.
NCAATournamentChampionshipGameAppearances
Indicates the number of times an entity has participated in the championship (final) game of the NCAA Tournament.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7877f481908a03f1077600e58a |
completed | April 10, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:44 p.m.