Triple

T14576521
Position Surface form Disambiguated ID Type / Status
Subject Proto–Benue–Congo language E342066 entity
Predicate hasDescendant P3654 FINISHED
Object Bemba language E286634 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: Bemba language | Statement: [Proto–Benue–Congo language, hasDescendant, Bemba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bemba language
Context triple: [Proto–Benue–Congo language, hasDescendant, Bemba language]
  • A. Bemba language chosen
    Bemba is a major Bantu language spoken primarily in Zambia, serving as one of the country’s most widely used lingua francas in daily life, education, and media.
  • B. Bembe language
    The Bembe language is a Bantu language spoken primarily by the Bembe people in parts of the Democratic Republic of the Congo and neighboring regions of Central Africa.
  • C. Mbembe language
    The Mbembe language is a Bantu language spoken by the Mbembe people of Cameroon and Nigeria, belonging to the Nyang branch of the Niger-Congo language family.
  • D. Mbunda language
    The Mbunda language is a Bantu language spoken primarily by the Mbunda people in parts of Angola and Zambia.
  • E. Konongo language
    The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f5ec448190b2ef887fdf7b633e completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ace7da48190880a736ead5c4055 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.