Triple

T14678943
Position Surface form Disambiguated ID Type / Status
Subject Marc-Vivien Foé E344724 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Canon Yaoundé E552207 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: Canon Yaoundé | Statement: [Marc-Vivien Foé, memberOfSportsTeam, Canon Yaoundé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canon Yaoundé
Context triple: [Marc-Vivien Foé, memberOfSportsTeam, Canon Yaoundé]
  • A. Canon Yaoundé chosen
    Canon Yaoundé is a prominent Cameroonian football club historically renowned for its multiple African club championship titles and strong influence in African football.
  • B. Tonnerre Yaoundé
    Tonnerre Yaoundé is a prominent Cameroonian football club based in Yaoundé, known for producing legendary players such as Roger Milla.
  • C. Union Douala
    Union Douala is a professional football club based in Douala, Cameroon, known for competing in the country's top football division.
  • D. Beni Douala
    Beni Douala is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
  • E. Yaoundé
    Yaoundé is the political and administrative center of Cameroon, known for its hilly terrain and role as a major cultural and economic hub in Central Africa.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb567c2b88190a9639e61b6fba7df completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde180ff0c8190a8b7c7804e36c3f8 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.