Triple

T17615166
Position Surface form Disambiguated ID Type / Status
Subject Midlands Province, Zimbabwe E429063 entity
Predicate containsCity P294 FINISHED
Object Gweru NE NERFINISHED

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: Gweru | Statement: [Midlands Province, Zimbabwe, containsCity, Gweru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gweru
Context triple: [Midlands Province, Zimbabwe, containsCity, Gweru]
  • A. Gweru chosen
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • B. Gwaneum
    Gwaneum is the Korean name for the bodhisattva of compassion, equivalent to Guanyin in Chinese and Kannon in Japanese Buddhist traditions.
  • C. Goria
    Goria is an Italian surname most notably associated with Giovanni Goria, a former Prime Minister of Italy.
  • D. Gerede
    Gerede is a town and district in Turkey known for its location in the mountainous Bolu region and its cold, snowy climate.
  • E. Geira
    Geira was a Wendish princess who became the first wife of Olaf Tryggvason, the future king of Norway.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d3174008190a2b5bb1b061ea4df completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.