Triple

T586565
Position Surface form Disambiguated ID Type / Status
Subject Botswana E15169 entity
Predicate currency P245 FINISHED
Object Botswana pula E6376 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: Botswana pula | Statement: [Botswana, currency, Botswana pula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botswana pula
Context triple: [Botswana, currency, Botswana pula]
  • A. Botswana pula chosen
    The Botswana pula is the official currency of Botswana, known for its relative stability and use in some cross-border transactions in Southern Africa.
  • B. Zimbabwean dollar
    The Zimbabwean dollar was the former national currency of Zimbabwe, notorious for its extreme hyperinflation before being abandoned in favor of foreign currencies.
  • C. South African pound
    The South African pound was the former currency of South Africa, used before the country adopted the decimalized rand in 1961.
  • D. Rhodesian dollar
    The Rhodesian dollar was the former national currency of Rhodesia (now Zimbabwe), used during the country’s period of white-minority rule before being succeeded by the Zimbabwean dollar.
  • E. South African rand
    The South African rand is the official currency of South Africa and a key regional medium of exchange used in several neighboring countries.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b9a46388190a094b9ebf8dec397 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a50e273f508190bbbec5da99cb8a42 completed March 2, 2026, 4:12 a.m.
Created at: March 1, 2026, 7:33 p.m.