Triple

T22883965
Position Surface form Disambiguated ID Type / Status
Subject Bafang E567552 entity
Predicate locatedIn P40 FINISHED
Object Haut-Nkam 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: Haut-Nkam Department | Statement: [Bafang, locatedIn, Haut-Nkam Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haut-Nkam Department
Context triple: [Bafang, locatedIn, Haut-Nkam Department]
  • A. Haut-Nkam Department chosen
    Haut-Nkam Department is an administrative division in western Cameroon known for its predominantly Bamiléké population, agricultural activities, and a mix of rural communities and small urban centers.
  • B. Boumba-et-Ngoko Department
    Boumba-et-Ngoko Department is an administrative division in southeastern Cameroon known for its vast rainforest areas, low population density, and rich biodiversity.
  • C. Lékoumou Department
    Lékoumou Department is an administrative region in the Republic of the Congo located in the southern part of the country.
  • D. Ndé Department
    Ndé Department is an administrative division in western Cameroon known for its predominantly rural communities and agricultural activities.
  • E. Mouloundou Department
    Mouloundou Department is an administrative division located in southeastern Gabon within Ogooué-Lolo Province.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fbfc5848190aa612ea51df5a9ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:39 p.m.