Triple

T23402727
Position Surface form Disambiguated ID Type / Status
Subject Rivera E559548 entity
Predicate localCurrency P78277 FINISHED
Object Uruguayan peso 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: Uruguayan peso | Statement: [Rivera, localCurrency, Uruguayan peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uruguayan peso
Context triple: [Rivera, localCurrency, Uruguayan peso]
  • A. Uruguayan peso chosen
    The Uruguayan peso is the official national currency of Uruguay, used for all everyday transactions and financial operations throughout the country.
  • B. Paraguayan peso
    The Paraguayan peso was the former official currency of Paraguay before it was succeeded by the Paraguayan guaraní.
  • C. Argentine peso
    The Argentine peso is the official national currency of Argentina, used for everyday transactions and pricing throughout the country.
  • D. Chilean peso
    The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
  • E. UYU
    UYU is the IATA airport code for Uyuni Airport, which serves the town of Uyuni near Bolivia’s famous Salar de Uyuni salt flats.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4e09ccc81909869d2c5f6d68432 completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:37 p.m.