Triple

T6710881
Position Surface form Disambiguated ID Type / Status
Subject Southern Bantu languages E153135 entity
Predicate arealGroupWith P5147 FINISHED
Object Venda language
Venda language is a Southern Bantu language spoken primarily in South Africa and Zimbabwe, known for its rich noun class system and tonal distinctions.
 E612754 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: Venda language | Statement: [Southern Bantu languages, arealGroupWith, Venda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Venda language
Context triple: [Southern Bantu languages, arealGroupWith, Venda language]
  • A. Vangunu language
    The Vangunu language is an Oceanic language spoken by the Vangunu people in the New Georgia Islands of the Solomon Islands.
  • B. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • C. Vogul language
    Vogul language is an Uralic language of the Ob-Ugric branch spoken by the Mansi people in western Siberia.
  • D. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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: Venda language
Triple: [Southern Bantu languages, arealGroupWith, Venda language]
Generated description
Venda language is a Southern Bantu language spoken primarily in South Africa and Zimbabwe, known for its rich noun class system and tonal distinctions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Venda language
Target entity description: Venda language is a Southern Bantu language spoken primarily in South Africa and Zimbabwe, known for its rich noun class system and tonal distinctions.
  • A. Vangunu language
    The Vangunu language is an Oceanic language spoken by the Vangunu people in the New Georgia Islands of the Solomon Islands.
  • B. Damana language
    The Damana language is an indigenous Chibchan tongue spoken by the Wiwa people of the Sierra Nevada de Santa Marta region in northern Colombia.
  • C. Vogul language
    Vogul language is an Uralic language of the Ob-Ugric branch spoken by the Mansi people in western Siberia.
  • D. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • E. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d107380481909cc761dc182834c1 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700906a9c81908a121db4291195d8 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c701db4eb081908db6dd22fbfb28d1 completed March 27, 2026, 10:16 p.m.
NED2 Entity disambiguation (via description) batch_69c7026529ec81909479b826efb5eb54 completed March 27, 2026, 10:19 p.m.
Created at: March 27, 2026, 2:06 p.m.