Triple

T7538380
Position Surface form Disambiguated ID Type / Status
Subject Central Banda E178208 entity
Predicate subclassOf P1244 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: [Central Banda, subclassOf, Banda languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banda languages
Context triple: [Central Banda, subclassOf, 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_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_69c84f108aec81909b0738b6273d5bd3 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.