Triple

T2435544
Position Surface form Disambiguated ID Type / Status
Subject Venda E52951 entity
Predicate alternativeName P39 FINISHED
Object Luvenda
Luvenda is an alternative name for Venda, a Bantu language and ethnic group primarily found in South Africa.
 E266490 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: Luvenda | Statement: [Venda, alternativeName, Luvenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luvenda
Context triple: [Venda, alternativeName, Luvenda]
  • A. Fataleka
    Fataleka is an Oceanic language of the Southeast Solomonic group spoken by the Fataleka people in the Solomon Islands.
  • B. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • C. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • D. Nodwengu
    Nodwengu was a principal royal residence and political center of the Zulu Kingdom during the 19th century.
  • E. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • 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: Luvenda
Triple: [Venda, alternativeName, Luvenda]
Generated description
Luvenda is an alternative name for Venda, a Bantu language and ethnic group primarily found in South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luvenda
Target entity description: Luvenda is an alternative name for Venda, a Bantu language and ethnic group primarily found in South Africa.
  • A. Fataleka
    Fataleka is an Oceanic language of the Southeast Solomonic group spoken by the Fataleka people in the Solomon Islands.
  • B. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • C. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • D. Nodwengu
    Nodwengu was a principal royal residence and political center of the Zulu Kingdom during the 19th century.
  • E. Umbundu
    Umbundu is a major Bantu language spoken primarily in central and southern Angola, especially by the Ovimbundu people.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9cd49b48190bff10a5ab7cef483 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf6e23088190b0ce2feaa3eddda4 completed March 9, 2026, 12:39 p.m.
NEDg Description generation batch_69aec7eb422c8190a568a8e1e98cbca8 completed March 9, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69aecc1438588190a87c15cbfe48ba7f completed March 9, 2026, 1:33 p.m.
Created at: March 6, 2026, 9:43 p.m.