Triple

T27898344
Position Surface form Disambiguated ID Type / Status
Subject Tuvalu National Football Association E705557 entity
Predicate seeksMembershipIn P90182 FINISHED
Object FIFA NE NERFINISHED

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: FIFA | Statement: [Tuvalu National Football Association, seeksMembershipIn, FIFA]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seeksMembershipIn
Context triple: [Tuvalu National Football Association, seeksMembershipIn, FIFA]
  • A. membershipApplicationOf chosen
    Indicates that one entity is a membership application that is submitted for or associated with another entity (typically the applicant or organization).
  • B. membershipIn
    Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
  • C. confersMembershipIn
    Indicates that one entity grants or bestows membership status in a group, organization, or category upon another entity.
  • D. memberOf
    Indicates that an entity belongs to, is part of, or is a constituent of a larger group, organization, or collection.
  • E. membershipField
    Indicates that one entity serves as a field or attribute capturing the membership status or association of another entity within a group, organization, or collection.
  • 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_69ef96b490ac8190a412d04c5d009f3e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f64dbbaefc8190952b8320bf4397d8 completed May 2, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 6:40 p.m.