Triple

T7917879
Position Surface form Disambiguated ID Type / Status
Subject Ubangian languages E183872 entity
Predicate hasMember P10 FINISHED
Object Ngbandi language E274483 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: Ngbandi language | Statement: [Ubangian languages, hasMember, Ngbandi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngbandi language
Context triple: [Ubangian languages, hasMember, Ngbandi language]
  • A. Ngbandi language chosen
    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.
  • B. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
  • C. Banda-Gbi language
    The Banda-Gbi language is a Central Sudanic language spoken by the Banda people of the Central African Republic and surrounding regions.
  • D. Banda-Mbrém language
    The Banda-Mbrém language is a Central Sudanic language spoken by the Banda people in parts of Central Africa, particularly in the Central African Republic.
  • E. Bafut language
    The Bafut language is a Grassfields Bantu language spoken primarily by the Bafut people in the Northwest Region of Cameroon.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a8fbbb48190b50def4941761a31 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc563cb0a081909ed43ff45a8a1fa0 completed March 31, 2026, 11:18 p.m.
Created at: March 30, 2026, 5:05 p.m.