Triple

T23153845
Position Surface form Disambiguated ID Type / Status
Subject Monetary Policy Committee of the Reserve Bank of Zimbabwe E578389 entity
Predicate headquartersLocation P62 FINISHED
Object Harare 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: Harare | Statement: [Monetary Policy Committee of the Reserve Bank of Zimbabwe, headquartersLocation, Harare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harare
Context triple: [Monetary Policy Committee of the Reserve Bank of Zimbabwe, headquartersLocation, Harare]
  • A. Harare chosen
    Harare is the largest city and main economic, political, and cultural center of Zimbabwe.
  • B. Chitungwiza
    Chitungwiza is a large high-density dormitory town in Zimbabwe situated just south of Harare, known for its rapid urban growth and vibrant informal economy.
  • C. Masvingo
    Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
  • D. Bulawayo
    Bulawayo is Zimbabwe’s second-largest city and a major industrial, cultural, and transport hub in the southwestern part of the country.
  • E. Marondera
    Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efbe9a08190bcb6e822b8eab544 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.