Triple
T4376358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCLA Bruins football |
E99015
|
entity |
| Predicate | bowlGameAppearancesApprox |
P11245
|
FINISHED |
| Object | over 30 |
—
|
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: over 30 | Statement: [UCLA Bruins football, bowlGameAppearancesApprox, over 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bowlGameAppearancesApprox Context triple: [UCLA Bruins football, bowlGameAppearancesApprox, over 30]
-
A.
hasBowlAppearances
chosen
Indicates that an entity has participated in one or more bowl game appearances.
-
B.
bowlGamesCoached
Indicates the number of postseason bowl games in which a coach has served as the head coach for a team.
-
C.
hasWonBowlGame
Indicates that a team or individual has achieved victory in a specific bowl game competition.
-
D.
SuperBowlAppearance
Indicates that an entity (typically a team or player) has participated in at least one Super Bowl game.
-
E.
yearOfSuperBowlAppearance
Indicates the specific calendar year in which a given team appeared in a particular Super Bowl.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523d4e888190b4367ed6aa17d463 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.