Triple
T49724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XXXVI |
E977
|
entity |
| Predicate | gameWinningFieldGoalDistance |
P2635
|
FINISHED |
| Object | 48 yards |
—
|
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: 48 yards | Statement: [Super Bowl XXXVI, gameWinningFieldGoalDistance, 48 yards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameWinningFieldGoalDistance Context triple: [Super Bowl XXXVI, gameWinningFieldGoalDistance, 48 yards]
-
A.
scoredGameWinningGoal
Indicates that an entity scored the decisive goal that determined the final victory in a game.
-
B.
flightDistance
Indicates the measured distance covered by a flight between its origin and destination.
-
C.
homeFieldOpened
Indicates that a team's designated home field has officially begun operation or been opened for use.
-
D.
hasBallpark
Indicates that an entity possesses, is associated with, or includes a specific ballpark as part of its attributes or facilities.
-
E.
goalsInNHLRegularSeason
Indicates the number of goals a player has scored during NHL regular season games.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b6c9eb88190b2fe85e427f4177a |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac0fb088190b7a5e87817e8e747 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24b6b7638819095a86e2151635a02 |
completed | Feb. 28, 2026, 1:56 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.