Triple

T14857682
Position Surface form Disambiguated ID Type / Status
Subject Matam E349401 entity
Predicate usesCurrency P188 FINISHED
Object Guinean franc E215566 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: Guinean franc | Statement: [Matam, usesCurrency, Guinean franc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guinean franc
Context triple: [Matam, usesCurrency, Guinean franc]
  • A. Guinean franc chosen
    The Guinean franc is the official national currency of Guinea, used for all monetary transactions within the country.
  • B. French West African franc
    The French West African franc was the colonial currency used across several territories in French West Africa before being replaced by the CFA franc.
  • C. 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.
  • D. 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.
  • E. Congolese franc
    The Congolese franc is the official monetary unit used in the Democratic Republic of the Congo for all financial and commercial 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44458ec8190be295a95f5daab14 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a87dd88190b0f0c3b9b625a7e6 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:54 a.m.