Triple

T7954675
Position Surface form Disambiguated ID Type / Status
Subject Bantu H languages E184701 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Mbunda
Mbunda is a Bantu language spoken primarily in Angola and Zambia, known for its rich oral traditions and role in the cultural identity of the Mbunda people.
 E720072 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 | Statement: [Bantu H languages, hasNotableLanguage, Mbunda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mbunda
Context triple: [Bantu H languages, hasNotableLanguage, Mbunda]
  • A. Mbundu
    Mbundu is a major Bantu ethnic group of Angola, known for its distinct language and significant cultural and historical influence in the region.
  • B. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • C. Luba
    The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
  • D. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • E. South Mbundu
    South Mbundu, also known as Umbundu, is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
  • 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
Triple: [Bantu H languages, hasNotableLanguage, Mbunda]
Generated description
Mbunda is a Bantu language spoken primarily in Angola and Zambia, known for its rich oral traditions and role in the cultural identity of the Mbunda people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mbunda
Target entity description: Mbunda is a Bantu language spoken primarily in Angola and Zambia, known for its rich oral traditions and role in the cultural identity of the Mbunda people.
  • A. Mbundu
    Mbundu is a major Bantu ethnic group of Angola, known for its distinct language and significant cultural and historical influence in the region.
  • B. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • C. Luba
    The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
  • D. Lunda
    Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
  • E. South Mbundu
    South Mbundu, also known as Umbundu, is a major Bantu language spoken primarily by the Ovimbundu people in central and southern Angola.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5f74308190aa63a22c3d5feacc completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd33cf48188190b57ac2fb1dbfa771 completed April 1, 2026, 3:03 p.m.
NEDg Description generation batch_69cd36ecc1d88190a978f1d51b0e1382 completed April 1, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69cd4e7822e48190bb573162f224bd8c completed April 1, 2026, 4:57 p.m.
Created at: March 30, 2026, 5:11 p.m.