Triple

T11762364
Position Surface form Disambiguated ID Type / Status
Subject British West African pound E279687 entity
Predicate replacedBy P101 FINISHED
Object Nigerian pound E888970 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 pound | Statement: [British West African pound, replacedBy, Nigerian pound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigerian pound
Context triple: [British West African pound, replacedBy, Nigerian pound]
  • A. Nigerian pound chosen
    The Nigerian pound was the former official currency of Nigeria used before the country adopted the naira in the early 1970s.
  • B. Nigerian naira
    The Nigerian naira is the official fiat currency of Nigeria, issued and regulated by the Central Bank of Nigeria.
  • C. Ghanaian cedi
    The Ghanaian cedi is the official national currency of Ghana, used for everyday transactions and monetary policy in the country.
  • D. South Sudanese pound
    The South Sudanese pound is the official legal tender of South Sudan, introduced after the country’s independence to replace the Sudanese pound.
  • E. Sudanese pound
    The Sudanese pound is the official monetary unit of Sudan, used for everyday transactions and economic activities within the country.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5248e0881909ed1b4df7be422f7 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a4be7c481908deab31f2ee20e0c completed April 28, 2026, 2:24 a.m.
Created at: April 8, 2026, 9:41 p.m.