Triple

T690395
Position Surface form Disambiguated ID Type / Status
Subject Andorra E13377 entity
Predicate usesCurrencyOf P188 FINISHED
Object Eurozone E2721 NE FINISHED

How this triple was built (3 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: Eurozone | Statement: [Andorra, usesCurrencyOf, Eurozone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurozone
Context triple: [Andorra, usesCurrencyOf, Eurozone]
  • A. Eurozone chosen
    The Eurozone is the group of European Union countries that have adopted the euro as their common official currency and share a unified monetary policy.
  • B. Euro
    The Euro is the official common currency used by many countries in the European Union, facilitating trade and travel across much of Europe.
  • C. European Union
    The European Union is a political and economic union of European countries that collectively form one of the world’s largest single markets and play a major role in global diplomacy and governance.
  • D. Schengen Area
    The Schengen Area is a zone of European countries that have abolished internal border controls to allow passport-free movement of people across most of the continent.
  • E. EURO
    EURO is the commonly used abbreviation for the World Health Organization’s Regional Office for Europe, which oversees public health initiatives across the European region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesCurrencyOf
Context triple: [Andorra, usesCurrencyOf, Eurozone]
  • A. usesCurrency chosen
    Indicates that one entity conducts its financial transactions or values using the monetary unit represented by the other entity.
  • B. involvesCurrency
    Indicates that the relationship or action includes or pertains to the use, exchange, or specification of a particular currency.
  • C. usesSupplementaryCurrency
    Indicates that an entity employs an additional, non-primary currency alongside its main currency for transactions or value exchange.
  • D. currencyType
    Indicates the specific kind of monetary unit or currency associated with an entity or transaction.
  • E. currency
    Indicates that one entity serves as the medium of exchange or monetary unit used by another entity (such as a country, region, or system).
  • F. None of above.

Provenance (4 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0ad379c81909003d35c63822780 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68918e87c819085df25ee862ba836 completed March 3, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69a49d221d38819083c0adda81f59b07 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.