Triple

T7159320
Position Surface form Disambiguated ID Type / Status
Subject Moroni E166897 entity
Predicate currency P245 FINISHED
Object Comorian franc E166900 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: Comorian franc | Statement: [Moroni, currency, Comorian franc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comorian franc
Context triple: [Moroni, currency, Comorian franc]
  • A. Comorian franc chosen
    The Comorian franc is the official monetary unit of the Union of the Comoros, issued by the Central Bank of the Comoros and pegged to the euro.
  • B. Malagasy franc
    The Malagasy franc was the former official currency of Madagascar used before the adoption of the ariary.
  • C. 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.
  • D. Mauritian dollar
    The Mauritian dollar was a former currency of Mauritius that was eventually superseded by the Mauritian rupee.
  • E. Guinean franc
    The Guinean franc is the official national currency of Guinea, used for all monetary transactions within 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e811d6b081909dafeee1d820c74f completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adbbe8008190b470cf049ba4be52 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:47 p.m.