Triple

T11651655
Position Surface form Disambiguated ID Type / Status
Subject SEC regular season E276916 entity
Predicate tiebreakerBasis P6631 FINISHED
Object head-to-head results 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: head-to-head results | Statement: [SEC regular season, tiebreakerBasis, head-to-head results]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tiebreakerBasis
Context triple: [SEC regular season, tiebreakerBasis, head-to-head results]
  • 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. fairPlayTiebreakerAffectedTeams
    Indicates that the teams involved were impacted by a tiebreaker decision based on fair play criteria (such as disciplinary records).
  • D. tieForFirstPlace
    Indicates that two or more competitors share the highest rank or score, resulting in no single clear winner.
  • E. usesGoalDifferenceTiebreaker
    Indicates that when entities are tied, their ranking or outcome is decided based on the difference between goals scored and goals conceded.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cea9308190a13f7dd995ea07a4 completed April 10, 2026, 7:12 a.m.
PD Predicate disambiguation batch_69d85ddc780481909a3bc63832fe2bd2 completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.