Triple

T16978402
Position Surface form Disambiguated ID Type / Status
Subject Zaka District E411874 entity
Predicate partOf P40 FINISHED
Object Masvingo administrative region E84750 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: Masvingo administrative region | Statement: [Zaka District, partOf, Masvingo administrative region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masvingo administrative region
Context triple: [Zaka District, partOf, Masvingo administrative region]
  • A. Masvingo Province chosen
    Masvingo Province is a region in southeastern Zimbabwe known for encompassing the historic Great Zimbabwe ruins and the city of Masvingo.
  • B. Masvingo
    Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
  • C. Harare Province
    Harare Province is the metropolitan province in Zimbabwe that encompasses the capital city, Harare, and its surrounding urban areas.
  • D. Mazowe District
    Mazowe District is an administrative district in northern Zimbabwe known for its agricultural activities, particularly citrus and other commercial farming.
  • E. Mutare
    Mutare is a major city in eastern Zimbabwe, serving as the capital of Manicaland Province and an important commercial and transport hub near the border with Mozambique.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d185a9408190a991bf8a1ef694f0 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232f69308190b4799ffcaaa98eeb completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:32 a.m.