Triple

T1198813
Position Surface form Disambiguated ID Type / Status
Subject ZWN E25729 entity
Predicate currencyName P7046 FINISHED
Object Zimbabwean dollar E4073 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: Zimbabwean dollar | Statement: [ZWN, currencyName, Zimbabwean dollar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zimbabwean dollar
Context triple: [ZWN, currencyName, Zimbabwean dollar]
  • A. Zimbabwean dollar chosen
    The Zimbabwean dollar was the former national currency of Zimbabwe, notorious for its extreme hyperinflation before being abandoned in favor of foreign currencies.
  • B. Zambian kwacha
    The Zambian kwacha is the official fiat currency of Zambia, used for everyday transactions and issued by the Bank of Zambia.
  • C. Botswana pula
    The Botswana pula is the official currency of Botswana, known for its relative stability and use in some cross-border transactions in Southern Africa.
  • 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. Namibian dollar
    The Namibian dollar is the official national currency of Namibia, pegged at par to the South African rand and used alongside it in everyday transactions.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9c013c8190822d44d465d60fdb completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2e7d28c8190acf5ae2237e6d4e0 completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:46 p.m.