Triple

T19705069
Position Surface form Disambiguated ID Type / Status
Subject ECA E473191 entity
Predicate hasStakeholderRoleWith P34203 FINISHED
Object UEFA Executive structures 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: UEFA Executive structures | Statement: [ECA, hasStakeholderRoleWith, UEFA Executive structures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStakeholderRoleWith
Context triple: [ECA, hasStakeholderRoleWith, UEFA Executive structures]
  • A. hasStakeholder
    Indicates that an entity is a stakeholder of another entity, typically having an interest, involvement, or influence in its activities or outcomes.
  • B. hasStakeholderType chosen
    Indicates that an entity is associated with a stakeholder and specifies the category or role that stakeholder fulfills in relation to the entity.
  • C. hasOrganizationalRole
    Indicates that an entity holds a specific role, position, or function within an organization.
  • D. hasNotableRoleIn
    Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
  • E. hasCoRepresentativeRole
    Indicates that an entity shares or holds a co-representative role or position alongside another entity within the same representational context.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b998608190a82f23bbf77f7bd2 completed April 20, 2026, 3:14 p.m.
PD Predicate disambiguation batch_69e530438c60819082364c7be3eef6f0 completed April 19, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:46 p.m.