Triple

T8170006
Position Surface form Disambiguated ID Type / Status
Subject Bantu W languages E190791 entity
Predicate hasMember P10 FINISHED
Object Mbunda language
The Mbunda language is a Bantu language spoken primarily by the Mbunda people in parts of Angola and Zambia.
E715994 NE FINISHED

How this triple was built (4 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: Mbunda language | Statement: [Bantu W languages, hasMember, Mbunda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mbunda language
Context triple: [Bantu W languages, hasMember, Mbunda language]
  • A. Umbundu language
    The Umbundu language is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
  • B. 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.
  • C. Konongo language
    The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
  • D. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
  • E. Ngbandi language
    The Ngbandi language is a Central Sudanic language spoken primarily in the Central African Republic and the Democratic Republic of the Congo, known for being the linguistic source of the trade language Sango.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mbunda language
Triple: [Bantu W languages, hasMember, Mbunda language]
Generated description
The Mbunda language is a Bantu language spoken primarily by the Mbunda people in parts of Angola and Zambia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mbunda language
Target entity description: The Mbunda language is a Bantu language spoken primarily by the Mbunda people in parts of Angola and Zambia.
  • A. Umbundu language
    The Umbundu language is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
  • B. 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.
  • C. Konongo language
    The Konongo language is a Bantu language of East Africa, closely related to Sukuma and spoken by the Konongo people.
  • D. Banda-Ndélé language
    The Banda-Ndélé language is a Central Sudanic language spoken by the Banda people, primarily in the Central African Republic.
  • E. Ngbandi language
    The Ngbandi language is a Central Sudanic language spoken primarily in the Central African Republic and the Democratic Republic of the Congo, known for being the linguistic source of the trade language Sango.
  • F. None of above. chosen

Provenance (5 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4803de688190960438aa059d163b completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf542c388190b99fe4f0c6b7b946 completed April 1, 2026, 6:46 a.m.
NEDg Description generation batch_69ccc312a8608190b899394752ef375f completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd83115fc8190a3e276bed0a00926 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:39 p.m.