Triple

T29884976
Position Surface form Disambiguated ID Type / Status
Subject Trinidad and Tobago national football league system E758984 entity
Predicate hasWomenComponent P48634 FINISHED
Object women's leagues organised under the same association 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: women's leagues organised under the same association | Statement: [Trinidad and Tobago national football league system, hasWomenComponent, women's leagues organised under the same association]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWomenComponent
Context triple: [Trinidad and Tobago national football league system, hasWomenComponent, women's leagues organised under the same association]
  • A. hadFemaleMembers
    Indicates that the subject group or organization included one or more female individuals among its members.
  • B. includesWomenStructure chosen
    Indicates that the referenced entity contains or incorporates a structural component specifically designed for or involving women.
  • C. hasWomenOrganization
    Indicates that an entity is associated with, contains, or is part of an organization specifically for women.
  • D. hasFemaleEquivalent
    Indicates that one entity serves as the female counterpart or equivalent of another entity.
  • E. femaleHas
    Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or 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_69f2245de2f48190a481404896b56254 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fcf825ca7081909d06b0df33eb33f9 completed May 7, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fcf42160f0819096812a8bf590875e completed May 7, 2026, 8:20 p.m.
Created at: April 29, 2026, 5:59 p.m.