Triple

T9312677
Position Surface form Disambiguated ID Type / Status
Subject APRALO E224041 entity
Predicate hasCounterpart P6587 FINISHED
Object AFRALO E224040 NE 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: AFRALO | Statement: [APRALO, hasCounterpart, AFRALO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFRALO
Context triple: [APRALO, hasCounterpart, AFRALO]
  • A. AFRALO chosen
    AFRALO is the African Regional At-Large Organization within ICANN, representing the interests of individual Internet users across the African region in global Internet governance.
  • B. AFOUA
    AFOUA stands for the Air Force Outstanding Unit Award, a U.S. Air Force decoration recognizing units that demonstrate exceptionally meritorious service or outstanding achievement.
  • C. Afa
    Afa is a small commune in the Corse-du-Sud department on the French island of Corsica, located inland near the Gulf of Ajaccio.
  • D. Afizere
    Afizere is a Plateau language spoken by the Afizere (Jarawa) people primarily in and around Jos in central Nigeria.
  • E. ASFAR
    ASFAR is a prominent Moroccan football club based in Rabat, known for its strong domestic record and association with the Royal Moroccan Armed Forces.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20ae96e481909a1af9ea1c91f2b2 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e39d03508190aca18600c33bfdd8 completed April 4, 2026, 10:10 a.m.
Created at: March 30, 2026, 7:37 p.m.