Triple

T7161889
Position Surface form Disambiguated ID Type / Status
Subject Central Bantu E166965 entity
Predicate hasMajorLanguage P207 FINISHED
Object Kete
Kete is a Bantu language spoken in Central Africa, associated with the Central Bantu subgroup.
 E645170 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: Kete | Statement: [Central Bantu, hasMajorLanguage, Kete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kete
Context triple: [Central Bantu, hasMajorLanguage, Kete]
  • A. Kete
    Kete is a traditional Akan dance and drum ensemble from Ghana, often performed at royal courts and important ceremonial occasions.
  • B. Oshikwanyama
    Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
  • C. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • D. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • E. Bafut
    Bafut is a traditional kingdom and town in northwestern Cameroon known for its rich cultural heritage and historical palace.
  • 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: Kete
Triple: [Central Bantu, hasMajorLanguage, Kete]
Generated description
Kete is a Bantu language spoken in Central Africa, associated with the Central Bantu subgroup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kete
Target entity description: Kete is a Bantu language spoken in Central Africa, associated with the Central Bantu subgroup.
  • A. Kete
    Kete is a traditional Akan dance and drum ensemble from Ghana, often performed at royal courts and important ceremonial occasions.
  • B. Oshikwanyama
    Oshikwanyama is a Bantu language variety spoken primarily in northern Namibia and southern Angola, recognized as one of the major dialects of Oshiwambo.
  • C. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • D. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • E. Bafut
    Bafut is a traditional kingdom and town in northwestern Cameroon known for its rich cultural heritage and historical palace.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82e4b248190ad3c3863cb93971e completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adc4b7648190969fab0351f9fd22 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae44e0d48190818b193e03aba6a4 completed March 28, 2026, 10:32 a.m.
NED2 Entity disambiguation (via description) batch_69c7aeb68c3481909c6dff8ee51349ab completed March 28, 2026, 10:34 a.m.
Created at: March 27, 2026, 2:47 p.m.