Triple
T7472967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulsa Golden Hurricane football |
E176552
|
entity |
| Predicate | hasPlayedInBowlGames |
P45178
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tulsa Golden Hurricane football, hasPlayedInBowlGames, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedInBowlGames Context triple: [Tulsa Golden Hurricane football, hasPlayedInBowlGames, yes]
-
A.
hasWonBowlGame
Indicates that a team or individual has achieved victory in a specific bowl game competition.
-
B.
footballBowlParticipation
chosen
Indicates that an entity (typically a team or player) took part in a specific football bowl game.
-
C.
bowlGamesCoached
Indicates the number of postseason bowl games in which a coach has served as the head coach for a team.
-
D.
playedInNFCChampionshipGameWith
Indicates that two players participated together on the same team in at least one NFC Championship Game.
-
E.
RoseBowlAppearances
Indicates the number of times an entity has participated in the Rose Bowl game.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f416d018819098275cc51d8def3f |
completed | March 27, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:41 p.m.