Triple

T32909308
Position Surface form Disambiguated ID Type / Status
Subject Belarusian Cup E841828 entity
Predicate hasTypeOfParticipation P6384 FINISHED
Object professional clubs 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: professional clubs | Statement: [Belarusian Cup, hasTypeOfParticipation, professional clubs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfParticipation
Context triple: [Belarusian Cup, hasTypeOfParticipation, professional clubs]
  • A. supportsParticipantType
    Indicates that an entity is compatible with, or designed to work with, a specified type or category of participant.
  • B. participantType chosen
    Indicates the specific role or category that a participant has within a given event, activity, or relationship.
  • C. hasGlobalParticipation
    Indicates that an entity is involved in or contributes to activities, initiatives, or operations that span multiple countries or have worldwide scope.
  • D. allowsParticipationIn
    Indicates that one entity grants another entity the right or permission to take part in a specific activity, event, or process.
  • E. requiresParticipationOf
    Indicates that one entity’s occurrence, validity, or completion depends on the active involvement or participation of another entity.
  • 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_69f34946a5208190bbd79f0fec4323bd completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fee25dbca481909e6f1c255122b3a8 completed May 9, 2026, 7:29 a.m.
PD Predicate disambiguation batch_69fee1c8915c8190b08b63e42881f1a9 completed May 9, 2026, 7:27 a.m.
Created at: May 1, 2026, 1:19 a.m.