Triple

T31939093
Position Surface form Disambiguated ID Type / Status
Subject Dunaújvárosi Acélbikák E815475 entity
Predicate hasContactSport P31169 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: [Dunaújvárosi Acélbikák, hasContactSport, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasContactSport
Context triple: [Dunaújvárosi Acélbikák, hasContactSport, yes]
  • A. isContactSport chosen
    Indicates that the activity involves significant physical contact between participants as an inherent and expected part of play.
  • B. hasSportsRole
    Indicates that an entity holds or is assigned a specific role or position within a sports context or organization.
  • C. hasSportsStatus
    Indicates that an entity holds a particular sports-related status, role, or classification (such as amateur, professional, active, or retired) within a sporting context.
  • D. performsAtSport
    Indicates that an entity carries out or participates in an activity at a particular sport or sporting context.
  • E. hasSportsOffered
    Indicates that an entity provides or makes available certain sports as options or activities.
  • 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_69f348f3035c81908558e2339955abb3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a033d975d788190aafc4be10d6c5c1c completed May 12, 2026, 2:47 p.m.
PD Predicate disambiguation batch_6a033cc2668481908cb696e57632a68f completed May 12, 2026, 2:44 p.m.
Created at: May 1, 2026, 12:05 a.m.