Triple

T1302579
Position Surface form Disambiguated ID Type / Status
Subject Matabeleland North E27799 entity
Predicate contains P35 FINISHED
Object Lupane E152055 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: Lupane | Statement: [Matabeleland North, contains, Lupane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lupane
Context triple: [Matabeleland North, contains, Lupane]
  • A. Lupane chosen
    Lupane is a small town in western Zimbabwe that serves as the administrative and commercial center of the Matabeleland North province.
  • B. Lomwe
    Lomwe is a Bantu language spoken primarily in Mozambique and Malawi by the Lomwe people.
  • C. Tshiphani
    Tshiphani is a regional dialect of the Tshivenda language spoken by Venda communities in parts of southern Africa.
  • D. Makhuwa
    Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
  • E. Madikizela
    Madikizela is the maiden surname of South African anti-apartheid activist and politician Winnie Madikizela-Mandela.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c115ba64819081c55fa6807e19ef completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc622dac88190b6ecdc62c7f26dc5 completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:51 p.m.