Triple

T10909761
Position Surface form Disambiguated ID Type / Status
Subject Chinhoyi E257663 entity
Predicate governingBody P46 FINISHED
Object Chinhoyi Municipality E257663 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: Chinhoyi Municipality | Statement: [Chinhoyi, governingBody, Chinhoyi Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinhoyi Municipality
Context triple: [Chinhoyi, governingBody, Chinhoyi Municipality]
  • A. Chinhoyi chosen
    Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
  • B. Marondera District
    Marondera District is an administrative district in eastern Zimbabwe centered on the town of Marondera, known for its agricultural activities and role as a regional service hub.
  • C. Chikomba District
    Chikomba District is a rural administrative district in Zimbabwe’s Mashonaland East Province, with Chivhu as its main town and service center.
  • D. Harare Province
    Harare Province is the metropolitan province in Zimbabwe that encompasses the capital city, Harare, and its surrounding urban areas.
  • E. Zvimba District
    Zvimba District is an administrative district in northern Zimbabwe known for its rural communities, agriculture, and as the home area of former president Robert Mugabe.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77068e5488190bbc881ebf51d6b2e completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.