Triple

T22686506
Position Surface form Disambiguated ID Type / Status
Subject Kasindi E560930 entity
Predicate currencyUsed P188 FINISHED
Object Congolese franc NE NERFINISHED

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: Congolese franc | Statement: [Kasindi, currencyUsed, Congolese franc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Congolese franc
Context triple: [Kasindi, currencyUsed, Congolese franc]
  • A. Congolese franc chosen
    The Congolese franc is the official monetary unit used in the Democratic Republic of the Congo for all financial and commercial transactions.
  • B. Belgian Congo franc
    The Belgian Congo franc was the colonial currency used in the Belgian Congo and its administered territories, including Ruanda-Urundi, during much of the 20th century.
  • 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. Guinean franc
    The Guinean franc is the official national currency of Guinea, used for all monetary transactions within the country.
  • 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 (2 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178649aac8190a9d41f5d82895bdf completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.