Triple
T18911562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pop-Tarts Bowl |
E462619
|
entity |
| Predicate | hasBowlGameType |
P133750
|
FINISHED |
| Object | non–College Football Playoff bowl |
—
|
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: non–College Football Playoff bowl | Statement: [Pop-Tarts Bowl, hasBowlGameType, non–College Football Playoff bowl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBowlGameType Context triple: [Pop-Tarts Bowl, hasBowlGameType, non–College Football Playoff bowl]
-
A.
isMajorBowlGame
Indicates that a particular football game qualifies as one of the most prominent, high-profile postseason bowl games.
-
B.
bowlGame
Indicates that the relationship or event involves a postseason college football bowl game in which a team participates or that is associated with an entity.
-
C.
numberOfBowlGamesPlayed
Indicates the total count of bowl games that an entity (typically a sports team or player) has participated in.
-
D.
hasWonBowlGame
Indicates that a team or individual has achieved victory in a specific bowl game competition.
-
E.
numberOfBowlGamesScheduled
Indicates the total count of bowl games that have been planned or scheduled for a given context or time period.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c6238e288190b30311b5d80beafb |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:58 a.m.