Triple

T698532
Position Surface form Disambiguated ID Type / Status
Subject Dakar E13945 entity
Predicate currency P245 FINISHED
Object West African CFA franc E67508 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: West African CFA franc | Statement: [Dakar, currency, West African CFA franc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West African CFA franc
Context triple: [Dakar, currency, West African CFA franc]
  • A. West African CFA franc chosen
    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.
  • B. Central African CFA franc
    The Central African CFA franc is a regional currency used by several Central African countries, including Gabon, and is guaranteed by the French Treasury.
  • C. Congolese franc
    The Congolese franc is the official monetary unit used in the Democratic Republic of the Congo for all financial and commercial transactions.
  • D. Djiboutian franc
    The Djiboutian franc is the official monetary unit of Djibouti, a small East African nation strategically located on the Horn of Africa.
  • E. Mauritanian ouguiya
    The Mauritanian ouguiya is the official monetary unit of Mauritania, used for all everyday transactions and financial operations in 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c99be48190babc37c397b6a186 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcac4e9c8190bb6903916a6624a8 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.