Triple

T12439332
Position Surface form Disambiguated ID Type / Status
Subject 2009 Major League Baseball season E297228 entity
Predicate tieBreakerGame P6631 FINISHED
Object 2009 American League Central tie-breaker game 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: 2009 American League Central tie-breaker game | Statement: [2009 Major League Baseball season, tieBreakerGame, 2009 American League Central tie-breaker game]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tieBreakerGame
Context triple: [2009 Major League Baseball season, tieBreakerGame, 2009 American League Central tie-breaker game]
  • A. tiebreakerGameLoser
    Indicates the player or team that lost a specific tiebreaker game used to resolve a tie in a competition or match.
  • B. tiebreaker chosen
    Indicates that one entity serves as the deciding factor used to break a tie between two or more otherwise equal options or outcomes.
  • C. tiebreakerGameDate
    Indicates the date on which a tiebreaker game is played or scheduled to occur.
  • D. tieGameReason
    Indicates that the specified factor or event is the reason why a particular game or match ended in a tie.
  • E. hasTieGame
    Indicates that a game or match has ended with both sides having the same score, resulting in no winner.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
PD Predicate disambiguation batch_69d94d391c548190996a8c698357f273 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.