Triple

T14050937
Position Surface form Disambiguated ID Type / Status
Subject Apa E338086 entity
Predicate usesCurrency P188 FINISHED
Object Nigerian naira E60040 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: Nigerian naira | Statement: [Apa, usesCurrency, Nigerian naira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigerian naira
Context triple: [Apa, usesCurrency, Nigerian naira]
  • A. Nigerian naira chosen
    The Nigerian naira is the official fiat currency of Nigeria, issued and regulated by the Central Bank of Nigeria.
  • B. Nigerian pound
    The Nigerian pound was the former official currency of Nigeria used before the country adopted the naira in the early 1970s.
  • C. Ghanaian cedi
    The Ghanaian cedi is the official national currency of Ghana, used for everyday transactions and monetary policy in the country.
  • D. Angolan escudo
    The Angolan escudo was the former official currency of Angola during its period as a Portuguese colony and early independence, prior to the adoption of the kwanza.
  • E. West African CFA franc
    The West African CFA franc is a regional currency used by several West African countries, issued by the Central Bank of West African States and pegged to the euro.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8a518081908ad030ba48b7b946 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb65e63b48190bd5bd4a36cd15396 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.