Triple

T19145328
Position Surface form Disambiguated ID Type / Status
Subject Gbaya E468663 entity
Predicate language P15 FINISHED
Object Gbaya 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: Gbaya language | Statement: [Gbaya, language, Gbaya language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gbaya language
Context triple: [Gbaya, language, 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. Giabal language
    The Giabal language is an extinct Australian Aboriginal language once spoken by the Giabal people of Queensland.
  • D. Cabiyari language
    The Cabiyari language is an indigenous Arawakan language spoken by the Cabiyari people of the northwestern Amazon region.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e978b0b481909a531efa030c5def completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.