Triple

T2160214
Position Surface form Disambiguated ID Type / Status
Subject Central African CFA franc E47982 entity
Predicate previouslyPeggedTo P13429 FINISHED
Object French franc LITERAL 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: French franc | Statement: [Central African CFA franc, previouslyPeggedTo, French franc]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previouslyPeggedTo
Context triple: [Central African CFA franc, previouslyPeggedTo, French franc]
  • A. isPegged
    Indicates that one entity’s value, status, or behavior is fixed or tightly linked to that of another entity, typically so that changes in the reference entity directly determine changes in the pegged entity.
  • B. historicalPeg chosen
    Indicates a relationship where one entity’s value, status, or definition was formerly fixed or tied to another entity in the past.
  • C. currencyPeg
    Indicates that one currency’s value is fixed or tightly linked to the value of another currency or a basket of currencies.
  • D. previousCurrency
    Indicates that one currency served as the predecessor or was replaced by another currency in a monetary system or sequence.
  • E. formerCurrency
    Indicates that an entity was once used as a currency in a place or time period but is no longer in official use.
  • F. None of above.

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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8894d481908eda9363fd36fea6 completed March 7, 2026, 5:58 a.m.
PD Predicate disambiguation batch_69abbd9c90408190b6b65498ca43ce26 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.