Triple

T22554387
Position Surface form Disambiguated ID Type / Status
Subject Lagdo E557641 entity
Predicate administrativeDivision P747 FINISHED
Object Bénoué Department 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: Bénoué Department | Statement: [Lagdo, administrativeDivision, Bénoué Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bénoué Department
Context triple: [Lagdo, administrativeDivision, Bénoué Department]
  • A. Bénoué Department chosen
    Bénoué Department is an administrative division in northern Cameroon known for its capital Garoua and proximity to the Bénoué River and Bénoué National Park.
  • B. Wouri Department
    Wouri Department is an administrative division in Cameroon that encompasses the major economic hub and port city of Douala.
  • C. Mouloundou Department
    Mouloundou Department is an administrative division located in southeastern Gabon within Ogooué-Lolo Province.
  • D. Ouémé Department
    Ouémé Department is an administrative region in southeastern Benin that includes the national capital, Porto-Novo, and is known for its role as a political and economic hub.
  • E. Mbour Department
    Mbour Department is an administrative division in Senegal’s Thiès Region, known for its coastal towns, fishing activities, and tourism along the Petite Côte.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f780fb88190836408c6de3d3966 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.