Triple

T21917144
Position Surface form Disambiguated ID Type / Status
Subject Bamileke languages E541208 entity
Predicate hasMember P10 FINISHED
Object Bamendjou language 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: Bamendjou language | Statement: [Bamileke languages, hasMember, Bamendjou language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamendjou language
Context triple: [Bamileke languages, hasMember, Bamendjou language]
  • A. Bambassi language
    The Bambassi language is a lesser-known Afroasiatic tongue spoken by communities in western Ethiopia, classified within the North Omotic branch.
  • B. Bembe language
    The Bembe language is a Bantu language spoken primarily by the Bembe people in parts of the Democratic Republic of the Congo and neighboring regions of Central Africa.
  • C. Bafut language
    The Bafut language is a Grassfields Bantu language spoken primarily by the Bafut people in the Northwest Region of Cameroon.
  • D. Babanki language chosen
    The Babanki language is a Grassfields Bantu language spoken by the Babanki people in Cameroon.
  • E. Ngbandi language
    The Ngbandi language is a Central Sudanic language spoken primarily in the Central African Republic and the Democratic Republic of the Congo, known for being the linguistic source of the trade language Sango.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233858308190a877d8015db4d380 completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:43 p.m.