Triple
T102343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl XXXVIII |
E2065
|
entity |
| Predicate | gameWinningScoreTimeRemaining |
P7561
|
FINISHED |
| Object | 4 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: 4 seconds | Statement: [Super Bowl XXXVIII, gameWinningScoreTimeRemaining, 4 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameWinningScoreTimeRemaining Context triple: [Super Bowl XXXVIII, gameWinningScoreTimeRemaining, 4 seconds]
-
A.
gameWinningScoreType
Indicates the type or category of score (e.g., goal, point, run) that results in winning a game.
-
B.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
C.
scoredGameWinningGoal
Indicates that an entity scored the decisive goal that determined the final victory in a game.
-
D.
hasScoreboard
Indicates that one entity is equipped with or associated with a scoreboard used to display scores or results.
-
E.
gameWinningKicker
Indicates that an entity serves as the kicker responsible for securing the decisive, game-winning score in a contest.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258de46888190835db2b21a093eaa |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.