Triple

T35905687
Position Surface form Disambiguated ID Type / Status
Subject UFC Welterweight Championship E1038465 entity
Predicate recordMostTitleDefensesHolder P33242 FINISHED
Object Georges St-Pierre NE NERFINISHED

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: Georges St-Pierre | Statement: [UFC Welterweight Championship, recordMostTitleDefensesHolder, Georges St-Pierre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recordMostTitleDefensesHolder
Context triple: [UFC Welterweight Championship, recordMostTitleDefensesHolder, Georges St-Pierre]
  • A. recordHolderMostTitles
    Indicates that one entity holds the highest number of titles (e.g., championships, awards, or similar distinctions) compared to all other entities in a given context.
  • B. numberOfTitleDefenses chosen
    Indicates the number of times an entity has successfully defended a previously won title or championship.
  • C. mostChampionshipTitlesClub
    Indicates that a club holds the highest number of championship titles within a given competition or context.
  • D. consecutiveLeagueTitles
    Indicates that one entity has won league titles in successive seasons without interruption.
  • E. numberOfTitlesOfMostSuccessfulClub
    Indicates the total count of titles won by the club that has achieved the highest number of titles among all clubs in the given context.
  • 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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fde9fc184c8190bebef35df0e76076 completed May 8, 2026, 1:49 p.m.
PD Predicate disambiguation batch_69fde6e5beb4819094945a695e961d88 completed May 8, 2026, 1:36 p.m.
Created at: May 3, 2026, 4:07 p.m.