Triple

T7210137
Position Surface form Disambiguated ID Type / Status
Subject Midlands Province E149379 entity
Predicate borders P224 FINISHED
Object Bulawayo Province E633973 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: Bulawayo Province | Statement: [Midlands Province, borders, Bulawayo Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulawayo Province
Context triple: [Midlands Province, borders, Bulawayo Province]
  • A. Bulawayo Province chosen
    Bulawayo Province is an urban province in southwestern Zimbabwe centered on the country’s second-largest city, Bulawayo.
  • B. 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.
  • C. Limpopo Province
    Limpopo Province is South Africa’s northernmost province, known for its rich wildlife, cultural diversity, and extensive agricultural and mining activities.
  • D. Maputo Province
    Maputo Province is a southern Mozambican province surrounding the national capital region and extending to the borders with South Africa and Eswatini.
  • E. Mashonaland West Province
    Mashonaland West Province is a region in northern Zimbabwe known for its rich agricultural lands, mineral resources, and wildlife areas along the Zambezi River.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e96de4f081908f29b30c95e349f5 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be10c5b081908210981ce9c45bd9 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 2:53 p.m.