Triple

T16978506
Position Surface form Disambiguated ID Type / Status
Subject Gutu E411878 entity
Predicate locatedIn P40 FINISHED
Object Masvingo Province 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 Province | Statement: [Gutu, locatedIn, Masvingo Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masvingo Province
Context triple: [Gutu, locatedIn, Masvingo Province]
  • 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. Harare Province
    Harare Province is the metropolitan province in Zimbabwe that encompasses the capital city, Harare, and its surrounding urban areas.
  • C. Muchinga Province
    Muchinga Province is an administrative region in northeastern Zambia known for its predominantly Bemba-speaking population and its mix of highland terrain, forests, and rural communities.
  • D. Mazowe District
    Mazowe District is an administrative district in northern Zimbabwe known for its agricultural activities, particularly citrus and other commercial farming.
  • E. Manica Province
    Manica Province is a central-western region of Mozambique known for its mountainous terrain, agriculture, and proximity to the Zimbabwean border.
  • 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_6a0170df4d1c81909dd05abfd1cfc2ac completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:32 a.m.