Triple

T31504885
Position Surface form Disambiguated ID Type / Status
Subject Super Viernes E803789 entity
Predicate usesReferees P128835 FINISHED
Object yes 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: yes | Statement: [Super Viernes, usesReferees, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesReferees
Context triple: [Super Viernes, usesReferees, yes]
  • A. hasReferees chosen
    Indicates that an entity is associated with one or more referees who oversee, judge, or validate its activities or events.
  • B. hasRefereesFrom
    Indicates that an entity is officiated or overseen by referees originating from a specified source or location.
  • C. hasProfessionalReferees
    Indicates that an entity is associated with one or more individuals who serve as its professional references or referees.
  • D. overseesReferees
    Indicates that one entity has responsibility for supervising, managing, or directing the work and performance of referees.
  • E. refereesInCompetition
    Indicates that an entity serves as a referee or official within a particular competition or event.
  • 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_69f348cae52081909fa8e5f697523ae3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 30, 2026, 9:46 p.m.