Triple

T7917878
Position Surface form Disambiguated ID Type / Status
Subject Ubangian languages E183872 entity
Predicate hasMember P10 FINISHED
Object Gbaya language E178209 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 language | Statement: [Ubangian languages, hasMember, Gbaya language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gbaya language
Context triple: [Ubangian languages, hasMember, Gbaya language]
  • A. Gbaya languages chosen
    The Gbaya languages are a group of closely related Niger-Congo languages spoken primarily in the Central African Republic and neighboring regions by the Gbaya people.
  • B. Gbaya-Mbodomo language
    The Gbaya-Mbodomo language is a Niger-Congo language spoken by the Gbaya people of Central Africa, particularly in parts of the Central African Republic and neighboring regions.
  • C. Cabiyari language
    The Cabiyari language is an indigenous Arawakan language spoken by the Cabiyari people of the northwestern Amazon region.
  • D. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • E. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • 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_69cbdffe21fc8190acffc2e92d13aa5d completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:05 p.m.