Triple

T4058492
Position Surface form Disambiguated ID Type / Status
Subject Masvingo Province E84750 entity
Predicate hasSettlement P1068 FINISHED
Object Chiredzi E402285 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: Chiredzi | Statement: [Masvingo Province, hasSettlement, Chiredzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiredzi
Context triple: [Masvingo Province, hasSettlement, Chiredzi]
  • A. Chiredzi chosen
    Chiredzi is a town in southeastern Zimbabwe known as a center for sugarcane farming and a gateway to nearby wildlife and conservation areas.
  • B. Marondera
    Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
  • C. Chinhoyi
    Chinhoyi is a town in northern Zimbabwe known as an administrative center and for the nearby Chinhoyi Caves.
  • D. Chizarira National Park
    Chizarira National Park is a remote and rugged wilderness area in northwestern Zimbabwe, renowned for its dramatic escarpments, diverse wildlife, and low tourist densities.
  • E. Chimanimani National Park
    Chimanimani National Park is a mountainous protected area on Zimbabwe’s eastern border, renowned for its rugged peaks, rich biodiversity, and scenic hiking trails within the Chimanimani Mountains.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd13b4481908f9c09cc4f4a9724 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a6250081908f289f43b066b04d completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.