Triple
T36951169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Orange Bowl |
E914065
|
entity |
| Predicate | previousOrangeBowl |
P200910
|
FINISHED |
| Object | 2007 Orange Bowl |
—
|
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: 2007 Orange Bowl | Statement: [2008 Orange Bowl, previousOrangeBowl, 2007 Orange Bowl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousOrangeBowl Context triple: [2008 Orange Bowl, previousOrangeBowl, 2007 Orange Bowl]
-
A.
nextOrangeBowl
Indicates that one entity is the next scheduled occurrence of the Orange Bowl game relative to a given reference point or event.
-
B.
seasonNumberForOrangeBowl
Indicates the specific season number associated with a given instance of the Orange Bowl.
-
C.
roseBowlOpponentForWinner
Indicates the team that was defeated by the winning team in the Rose Bowl game.
-
D.
previousSuperBowl
Indicates that one Super Bowl event immediately precedes another in chronological order.
-
E.
nextRoseBowl
Indicates that one event or year is the immediate subsequent occurrence of the Rose Bowl game relative to another.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
| PDg | Predicate description generation | batch_69ffb82b40788190bf401344a3f288dd |
completed | May 9, 2026, 10:41 p.m. |
Created at: May 3, 2026, 4:13 p.m.