Triple

T7538427
Position Surface form Disambiguated ID Type / Status
Subject Gbaya languages E178209 entity
Predicate hasMember P10 FINISHED
Object Gbaya-Bozoum language E671933 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: Gbaya-Bozoum language | Statement: [Gbaya languages, hasMember, Gbaya-Bozoum language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gbaya-Bozoum language
Context triple: [Gbaya languages, hasMember, Gbaya-Bozoum language]
  • A. Baoulé language
    The Baoulé language is a Niger-Congo language spoken primarily by the Baoulé people of central Côte d'Ivoire.
  • B. Gbaya-Bossangoa language
    The Gbaya-Bossangoa language is a Gbaya language spoken primarily in the Central African Republic by the Gbaya people around the town of Bossangoa.
  • C. Bafut language
    The Bafut language is a Grassfields Bantu language spoken primarily by the Bafut people in the Northwest Region of Cameroon.
  • D. Nyagbo language
    The Nyagbo language is a Niger-Congo language spoken by the Nyagbo people in the Volta Region of Ghana, closely related to other Ghana–Togo Mountain languages.
  • E. Bokoto language chosen
    The Bokoto language is a Gbaya language spoken by the Bokoto people of Central Africa, primarily in the Central African Republic and surrounding regions.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8710400819088e430c8c550577e completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b687708190a1fe1351be70616b completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:48 p.m.