Triple

T27159894
Position Surface form Disambiguated ID Type / Status
Subject Russian Women’s Basketball Premier League E682630 entity
Predicate hasRefereesLicensedBy P197122 FINISHED
Object Russian Basketball Federation 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: Russian Basketball Federation | Statement: [Russian Women’s Basketball Premier League, hasRefereesLicensedBy, Russian Basketball Federation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRefereesLicensedBy
Context triple: [Russian Women’s Basketball Premier League, hasRefereesLicensedBy, Russian Basketball Federation]
  • A. hasReferees
    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. hasLicense
    Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
  • D. hasProfessionalReferees
    Indicates that an entity is associated with one or more individuals who serve as its professional references or referees.
  • E. hasLicenseCriteria
    Indicates that an entity is subject to, or must satisfy, specific licensing requirements or conditions.
  • 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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69fe78e545888190a239af1a84280fa0 completed May 8, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69fe7842742081908043eb950ed69f92 completed May 8, 2026, 11:56 p.m.
PDg Predicate description generation batch_69fe78e35e6c8190b8b440777912f64e completed May 8, 2026, 11:59 p.m.
Created at: April 27, 2026, 9:18 a.m.