Triple
T26889723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Rose Bowl |
E677138
|
entity |
| Predicate | awayTeamThirdQuarterPoints |
P34056
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [2016 Rose Bowl, awayTeamThirdQuarterPoints, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awayTeamThirdQuarterPoints Context triple: [2016 Rose Bowl, awayTeamThirdQuarterPoints, 3]
-
A.
awayTeamPointsByQuarter
chosen
Indicates the number of points scored by the away team in each quarter of a game.
-
B.
homeTeamFirstQuarterPoints
Indicates the number of points scored by the home team during the first quarter of a game.
-
C.
opponentPointsAfterThreeQuarters
Indicates the number of points the opposing team has scored by the end of the third quarter of a game.
-
D.
targetScoreAfterThreeQuarters
Indicates the score that a target entity has accumulated by the end of the third quarter of a game or timed event.
-
E.
homeTeamSecondQuarterPoints
Indicates the number of points scored by the home team during the second quarter of a 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f621cbc48881908d104c648c91c715 |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 5:44 a.m.