Triple
T2886537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XLIII |
E59518
|
entity |
| Predicate | gameWinningTouchdownTimeRemaining |
P7561
|
FINISHED |
| Object | 35 seconds |
—
|
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: 35 seconds | Statement: [Super Bowl XLIII, gameWinningTouchdownTimeRemaining, 35 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameWinningTouchdownTimeRemaining Context triple: [Super Bowl XLIII, gameWinningTouchdownTimeRemaining, 35 seconds]
-
A.
decisiveTouchdownScorer
Indicates the player who scored the touchdown that ultimately determined the outcome of the game.
-
B.
SuperBowlScore
Indicates the final point totals achieved by the competing teams in a specific Super Bowl game.
-
C.
halftimeScore
Indicates the score or result of a game or match at the halfway point (halftime).
-
D.
gameWinningScoreTimeRemaining
chosen
Indicates the amount of time left in the game when the decisive, game-winning score was made.
-
E.
touchdownsScored
Indicates the number of touchdowns that an entity has scored.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe0463ccc8190bf08330f40d0cfdc |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.