Triple

T17320801
Position Surface form Disambiguated ID Type / Status
Subject New York Giants won 2–1 E420553 entity
Predicate tieBreakerFor P6631 FINISHED
Object first place in 1951 National League standings 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: first place in 1951 National League standings | Statement: [New York Giants won 2–1, tieBreakerFor, first place in 1951 National League standings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tieBreakerFor
Context triple: [New York Giants won 2–1, tieBreakerFor, first place in 1951 National League standings]
  • A. 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.
  • B. tiebreakerGameLoser
    Indicates the player or team that lost a specific tiebreaker game used to resolve a tie in a competition or match.
  • C. tieForFirstPlace
    Indicates that two or more competitors share the highest rank or score, resulting in no single clear winner.
  • D. usesHeadToHeadAsTiebreaker
    Indicates that a head-to-head comparison between entities is used to break a tie in their ranking or outcome.
  • E. fairPlayTiebreakerAffectedTeams
    Indicates that the teams involved were impacted by a tiebreaker decision based on fair play criteria (such as disciplinary records).
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439cf5394819089bff5f8dc2e8241 completed April 19, 2026, 2:11 a.m.
PD Predicate disambiguation batch_69e3b01b9d1c8190a406dd941c9b11a1 completed April 18, 2026, 4:23 p.m.
Created at: April 10, 2026, 5:43 a.m.