Triple

T21635928
Position Surface form Disambiguated ID Type / Status
Subject MGA E533957 entity
Predicate predecessorCurrency P3072 FINISHED
Object Malagasy 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: Malagasy franc | Statement: [MGA, predecessorCurrency, Malagasy franc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malagasy franc
Context triple: [MGA, predecessorCurrency, Malagasy franc]
  • A. Malagasy franc chosen
    The Malagasy franc was the former official currency of Madagascar used before the adoption of the ariary.
  • B. Malagasy ariary
    The Malagasy ariary is the official monetary unit of Madagascar, used for all financial transactions and economic activities in the country.
  • C. Comorian franc
    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.
  • D. Tunisian franc
    The Tunisian franc was the former national currency of Tunisia used before the adoption of the Tunisian dinar.
  • E. 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.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538c5fbc8190a3316cf91f9516dc completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.