Triple

T1640695
Position Surface form Disambiguated ID Type / Status
Subject Super Bowl LVII E35462 entity
Predicate gameWinningScore P29755 FINISHED
Object Harrison Butker 27-yard field goal 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: Harrison Butker 27-yard field goal | Statement: [Super Bowl LVII, gameWinningScore, Harrison Butker 27-yard field goal]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gameWinningScore
Context triple: [Super Bowl LVII, gameWinningScore, Harrison Butker 27-yard field goal]
  • A. gameWinningScoreType
    Indicates the type or category of score (e.g., goal, point, run) that results in winning a game.
  • B. hasWinningScore
    Indicates that one entity possesses a score that is sufficient to win in a given competition, game, or scoring context.
  • C. pointsForWin
    Indicates the number of points awarded to an entity for achieving a win in a given context or competition.
  • D. gameWinningScoreTimeRemaining
    Indicates the amount of time left in the game when the decisive, game-winning score was made.
  • E. winningTeamScore
    Indicates the number of points or goals achieved by the team that wins a particular game or competition.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a919306fd48190a245fc95e0e759d9 completed March 5, 2026, 5:48 a.m.
PD Predicate disambiguation batch_69a907cc9d348190b76b0d3f596e5a81 completed March 5, 2026, 4:34 a.m.
PDg Predicate description generation batch_69a9192f975c8190bfd514a4b5a8786c completed March 5, 2026, 5:48 a.m.
Created at: March 4, 2026, 7:28 p.m.