Triple

T22278783
Position Surface form Disambiguated ID Type / Status
Subject Coton Sport FC de Garoua E550676 entity
Predicate hasRival P1375 FINISHED
Object Union Douala 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: Union Douala | Statement: [Coton Sport FC de Garoua, hasRival, Union Douala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Union Douala
Context triple: [Coton Sport FC de Garoua, hasRival, Union Douala]
  • A. Union Douala chosen
    Union Douala is a professional football club based in Douala, Cameroon, known for competing in the country's top football division.
  • B. Beni Douala
    Beni Douala is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
  • C. Leopard Douala
    Leopard Douala is a Cameroonian football club known for being one of the early teams in the career of legendary striker Roger Milla.
  • D. Port of Douala
    The Port of Douala is Cameroon’s principal seaport and a major Central African maritime hub for regional trade and cargo transit.
  • E. New Star de Douala
    New Star de Douala is a professional football club based in Douala, Cameroon, competing in the country’s top domestic leagues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea96948819081c1ae6c7b11ab62 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.