Triple

T8309370
Position Surface form Disambiguated ID Type / Status
Subject Banda-Bogbo language E194550 entity
Predicate glottologName P6521 FINISHED
Object Banda-Bogbo E716104 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: Banda-Bogbo | Statement: [Banda-Bogbo language, glottologName, Banda-Bogbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banda-Bogbo
Context triple: [Banda-Bogbo language, glottologName, Banda-Bogbo]
  • A. Banda-Langbasi chosen
    Banda-Langbasi is a Central African Banda language variety spoken by the Banda people, primarily in the Central African Republic and surrounding regions.
  • B. Banda-Yangere
    Banda-Yangere is a dialect of the Central Banda language spoken by Banda communities in parts of Central Africa.
  • C. Bawku
    Bawku is a town in northeastern Ghana known as a commercial hub near the country’s border with Burkina Faso.
  • D. Baguia
    Baguia is a remote mountainous region and administrative post in eastern Timor-Leste known for its traditional villages and rugged landscapes.
  • E. Rabha
    Rabha are an indigenous ethnic group of Northeast India, primarily inhabiting Assam and Meghalaya, known for their distinct Tibeto-Burman language, agrarian lifestyle, and rich folk traditions.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95665390819089c8becad018cf51 completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:54 p.m.