Triple

T35905689
Position Surface form Disambiguated ID Type / Status
Subject UFC Welterweight Championship E1038465 entity
Predicate recordMostConsecutiveTitleDefensesHolder P195914 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, recordMostConsecutiveTitleDefensesHolder, Georges St-Pierre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recordMostConsecutiveTitleDefensesHolder
Context triple: [UFC Welterweight Championship, recordMostConsecutiveTitleDefensesHolder, 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. consecutiveLeagueTitles
    Indicates that one entity has won league titles in successive seasons without interruption.
  • C. numberOfTitleDefenses
    Indicates the number of times an entity has successfully defended a previously won title or championship.
  • D. consecutiveTitlesForChampion
    Indicates that a champion has won multiple titles in succession without interruption.
  • E. recordHolderForConsecutiveAwards
    Indicates that an entity holds the record for receiving a particular award in the most consecutive instances or years.
  • 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_69f76e2259608190bf6788a132e0d139 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fdee770af48190aca2670db50f8b49 completed May 8, 2026, 2:08 p.m.
PD Predicate disambiguation batch_69fdecec98a08190a357d816dc2a6dbe completed May 8, 2026, 2:02 p.m.
PDg Predicate description generation batch_69fdee75d1408190bba58a9cef200a54 completed May 8, 2026, 2:08 p.m.
Created at: May 3, 2026, 4:07 p.m.