Triple

T12455392
Position Surface form Disambiguated ID Type / Status
Subject Mapou Yanga-Mbiwa E297642 entity
Predicate fullName P16 FINISHED
Object Mapou Yanga-Mbiwa E297642 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: Mapou Yanga-Mbiwa | Statement: [Mapou Yanga-Mbiwa, fullName, Mapou Yanga-Mbiwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mapou Yanga-Mbiwa
Context triple: [Mapou Yanga-Mbiwa, fullName, Mapou Yanga-Mbiwa]
  • A. Mapou Yanga-Mbiwa chosen
    Mapou Yanga-Mbiwa is a French professional footballer and central defender known for his key role in Montpellier’s 2011–12 Ligue 1 title-winning team and subsequent spells at clubs such as Newcastle United and AS Roma.
  • B. Langoué Baï
    Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
  • C. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • D. Koulamoutou
    Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
  • E. Mohombi
    Mohombi is a Congolese-Swedish singer, songwriter, and dancer known for his international pop and dance hits blending African and European musical influences.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da2a3cc81908de5a85257627fe2 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f190c788190adceaab8117d52a6 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.