Triple
T26889714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Rose Bowl |
E677138
|
entity |
| Predicate | isRoseBowlNumber |
P101235
|
FINISHED |
| Object | 102nd Rose Bowl Game |
—
|
NE NERFINISHED |
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: 102nd Rose Bowl Game | Statement: [2016 Rose Bowl, isRoseBowlNumber, 102nd Rose Bowl Game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRoseBowlNumber Context triple: [2016 Rose Bowl, isRoseBowlNumber, 102nd Rose Bowl Game]
-
A.
roseBowlNumber
chosen
Indicates the specific edition or sequence number assigned to a particular Rose Bowl game within the series of all Rose Bowl games.
-
B.
roseBowlOpponentForWinner
Indicates the team that was defeated by the winning team in the Rose Bowl game.
-
C.
RoseBowlAppearances
Indicates the number of times an entity has participated in the Rose Bowl game.
-
D.
SuperBowlNumber
Indicates the specific numbered edition of the Super Bowl associated with an event, team, or record.
-
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.
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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f66aeac819080748c6a0fb95f9b |
completed | May 2, 2026, 3:59 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:44 a.m.