Triple

T7570366
Position Surface form Disambiguated ID Type / Status
Subject Mashonaland West Province E179222 entity
Predicate hasDistrict P459 FINISHED
Object Kadoma District E672882 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: Kadoma District | Statement: [Mashonaland West Province, hasDistrict, Kadoma District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadoma District
Context triple: [Mashonaland West Province, hasDistrict, Kadoma District]
  • A. Kadoma
    Kadoma is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
  • B. Kadoma chosen
    Kadoma is a city in central Zimbabwe known for its gold mining and agricultural activities.
  • C. Homa Bay District
    Homa Bay District was a former administrative district in western Kenya located along the shores of Lake Victoria in Nyanza Province.
  • D. Mwenezi District
    Mwenezi District is a largely rural administrative district in southern Zimbabwe known for its cattle ranching, sugar estates, and semi-arid landscapes.
  • E. Kilwa District
    Kilwa District is an administrative district in Tanzania’s Lindi Region that includes the historic Swahili coastal settlement and UNESCO World Heritage Site of Kilwa Kisiwani.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f920540c8190817712db5aa3eeff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8616207f88190834dc2412001af3f completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:51 p.m.