Triple

T7792433
Position Surface form Disambiguated ID Type / Status
Subject Banda people E180212 entity
Predicate language P15 FINISHED
Object Banda-Linda E672478 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-Linda | Statement: [Banda people, language, Banda-Linda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banda-Linda
Context triple: [Banda people, language, Banda-Linda]
  • A. Banda-Linda chosen
    Banda-Linda is a dialect of the Central Banda language spoken by the Banda people in parts of Central Africa, particularly in the Central African Republic.
  • B. Banda Neira
    Banda Neira is a small volcanic island in Indonesia’s Maluku province, historically significant as part of the Spice Islands and later used by the Dutch as a remote place of political exile.
  • C. Banda
    Banda is a city in the Bundelkhand region of Uttar Pradesh, India, known for its historical significance and proximity to the Ken River.
  • D. Carira
    Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
  • E. Banda Linda
    Banda Linda is a Central Sudanic language spoken by the Banda people in parts of the Central African Republic and neighboring regions.
  • 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_69cbdeb6c1b88190a38fb4507bfb380c completed March 31, 2026, 2:48 p.m.
Created at: March 30, 2026, 4:30 p.m.