Triple

T1411645
Position Surface form Disambiguated ID Type / Status
Subject Lusaka E31817 entity
Predicate currency P245 FINISHED
Object Zambian kwacha E100429 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: Zambian kwacha | Statement: [Lusaka, currency, Zambian kwacha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zambian kwacha
Context triple: [Lusaka, currency, Zambian kwacha]
  • A. Zambian kwacha chosen
    The Zambian kwacha is the official fiat currency of Zambia, used for everyday transactions and issued by the Bank of Zambia.
  • 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. 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. Mozambican metical
    The Mozambican metical is the official monetary unit used in Mozambique for all financial transactions and economic activities.
  • E. Tanzanian shilling
    The Tanzanian shilling is the official monetary unit of Tanzania, used for everyday transactions and issued by the Bank of Tanzania.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e1da988190bc7c187e193539b6 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace57be14881908d469d2b5333d6d5 completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.