Triple

T15900151
Position Surface form Disambiguated ID Type / Status
Subject Kwekwe E385563 entity
Predicate locatedIn P40 FINISHED
Object Midlands Province E82002 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: Midlands Province | Statement: [Kwekwe, locatedIn, Midlands Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Midlands Province
Context triple: [Kwekwe, locatedIn, Midlands Province]
  • A. Midlands Province chosen
    Midlands Province is a central region of Zimbabwe known for its mining activities and agricultural production, with Gweru as its capital city.
  • B. Mashonaland Central Province
    Mashonaland Central Province is a predominantly rural administrative region in northern Zimbabwe known for its agriculture and proximity to the capital, Harare.
  • C. North Eastern Province
    North Eastern Province was a former administrative region in Kenya known for its arid climate, predominantly Somali population, and long border with Somalia.
  • D. Matabeleland
    Matabeleland is a historical region in southwestern Zimbabwe, traditionally inhabited by the Ndebele people and centered around the city of Bulawayo.
  • E. Matabeleland South
    Matabeleland South is a largely rural province in southwestern Zimbabwe known for its Ndebele-speaking population, cattle ranching, and proximity to the Botswana and South African borders.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563cd2f081909404d724ecc8785a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04f3ea08190b5581768770677e8 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.