Triple

T1493532
Position Surface form Disambiguated ID Type / Status
Subject UEFA Super Cup E29635 entity
Predicate formerParticipants P12970 FINISHED
Object winners of the European Cup 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: winners of the European Cup | Statement: [UEFA Super Cup, formerParticipants, winners of the European Cup]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerParticipants
Context triple: [UEFA Super Cup, formerParticipants, winners of the European Cup]
  • A. formerPartOwnerOf
    Indicates that an entity previously held, but no longer holds, a partial ownership stake in another entity.
  • B. formerMemberOf
    Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
  • C. formerlyInvolved chosen
    Indicates that an entity previously participated in or was associated with another entity or activity, but is no longer involved.
  • D. formerPartner
    Indicates that one entity was previously in a romantic or partnership relationship with another entity, but that relationship has since ended.
  • E. formerMemberName
    Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c665488190ae665f7a1b0563f5 completed March 1, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69a4c48902808190a8028d359bcf123e completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.