Triple

T7792432
Position Surface form Disambiguated ID Type / Status
Subject Banda people E180212 entity
Predicate language P15 FINISHED
Object Banda languages E33212 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 languages | Statement: [Banda people, language, Banda languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banda languages
Context triple: [Banda people, language, Banda languages]
  • A. Banda-Linda language
    The Banda-Linda language is a Banda language spoken by the Banda-Linda people of the Central African Republic.
  • B. Central Banda languages chosen
    The Central Banda languages are a group of closely related Banda languages spoken primarily in the Central African Republic and neighboring regions of central Africa.
  • C. Banda-Langbas language
    The Banda-Langbas language is a Central Sudanic language spoken by the Banda people in parts of the Central African Republic.
  • D. Banda-Midji language
    The Banda-Midji language is a Central Sudanic language spoken by the Banda people in parts of the Central African Republic and neighboring regions.
  • E. 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.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae938714c8190b89917e6ded004da completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13cdb4288190ae3cfe1ee4e3e496 completed March 31, 2026, 12:22 a.m.
Created at: March 30, 2026, 4:30 p.m.