Triple

T20216698
Position Surface form Disambiguated ID Type / Status
Subject Belgian Congo franc E495145 entity
Predicate replacedBy P101 FINISHED
Object Burundian 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: Burundian franc | Statement: [Belgian Congo franc, replacedBy, Burundian franc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burundian franc
Context triple: [Belgian Congo franc, replacedBy, Burundian franc]
  • A. Burundian franc chosen
    The Burundian franc is the official monetary unit of Burundi, used for all financial transactions and issued by the country's central bank.
  • B. Rwandan franc
    The Rwandan franc is the official monetary unit of Rwanda, used for everyday transactions and issued by the National Bank of Rwanda.
  • 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. Congolese franc
    The Congolese franc is the official monetary unit used in the Democratic Republic of the Congo for all financial and commercial transactions.
  • E. Djiboutian franc
    The Djiboutian franc is the official monetary unit of Djibouti, a small East African nation strategically located on the Horn of Africa.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66eda2f188190adf39d895e8b99f2 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:39 p.m.