Triple

T12040153
Position Surface form Disambiguated ID Type / Status
Subject Bobangi E286637 entity
Predicate influenced P9 FINISHED
Object Bangala (lingua franca) E934385 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: Bangala (lingua franca) | Statement: [Bobangi, influenced, Bangala (lingua franca)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangala (lingua franca)
Context triple: [Bobangi, influenced, Bangala (lingua franca)]
  • A. Bongo language
    The Bongo language is a Central Sudanic language spoken by the Bongo people of South Sudan.
  • B. Benga language
    The Benga language is a Bantu language of the Niger-Congo family traditionally spoken by the Benga people in coastal areas of Equatorial Guinea and nearby islands.
  • C. Bangala (Ngbandi-based trade language) chosen
    Bangala is a Central African trade language that developed from Ngbandi and serves as a lingua franca in parts of the Democratic Republic of the Congo and surrounding regions.
  • D. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • E. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040c1a6c8190aea1388e82dd8f5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d9937a08190b2f606a1e55733b5 completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.