Triple

T2435560
Position Surface form Disambiguated ID Type / Status
Subject Venda E52951 entity
Predicate hasDialects P4251 FINISHED
Object Tshipani E129844 NE FINISHED

How this triple was built (2 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: Tshipani | Statement: [Venda, hasDialects, Tshipani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tshipani
Context triple: [Venda, hasDialects, Tshipani]
  • A. Mogoditshane
    Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • B. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • C. Bojanala Platinum District
    Bojanala Platinum District is an administrative district in South Africa’s North West province, known for its rich platinum mining industry and proximity to major tourist attractions like Sun City and Pilanesberg National Park.
  • D. Masandawana
    Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
  • E. Tshiphani chosen
    Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69af178a0f0c81909f6629f3fed76e2c completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:43 p.m.