Triple

T4508967
Position Surface form Disambiguated ID Type / Status
Subject Congo Free State E102002 entity
Predicate currency P245 FINISHED
Object Congolese franc E54339 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: Congolese franc | Statement: [Congo Free State, currency, Congolese franc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Congolese franc
Context triple: [Congo Free State, currency, 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. 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. Guinean franc
    The Guinean franc is the official national currency of Guinea, used for all monetary transactions within the country.
  • 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. Burundian franc
    The Burundian franc is the official monetary unit of Burundi, used for all financial transactions and issued by the country's central bank.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd571138b88190b68bbfc4300aaf9d completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f7c1bd08190bc7b7028a512a466 completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:01 p.m.