Triple

T30204232
Position Surface form Disambiguated ID Type / Status
Subject WAFU U-20 Championship E767865 entity
Predicate memberCountriesScope P144539 FINISHED
Object West African countries 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: West African countries | Statement: [WAFU U-20 Championship, memberCountriesScope, West African countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: memberCountriesScope
Context triple: [WAFU U-20 Championship, memberCountriesScope, West African countries]
  • A. hasNonRegionalMemberCountries
    Indicates that an organization includes member countries that are not part of the primary geographic region with which the organization is associated.
  • B. memberNation
    Indicates that one entity is a nation that belongs to, or holds membership in, an international organization or group represented by the other entity.
  • C. eligibleCountry
    Indicates that a given country meets the required criteria or conditions to qualify for a specified program, action, or status.
  • D. memberOfThroughCountry
    Indicates that an entity is a member of another entity (such as an organization or group) by virtue of, or via, its association with a specific country.
  • E. LänderRepresentedIn chosen
    Indicates that certain countries have official representation or presence within a specified 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_69f2247eb0848190b4032f302d39c0d9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
Created at: April 29, 2026, 7:31 p.m.