Triple

T9575288
Position Surface form Disambiguated ID Type / Status
Subject BCB E231029 entity
Predicate currencyIssued P6033 FINISHED
Object Brazilian real E45260 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: Brazilian real | Statement: [BCB, currencyIssued, Brazilian real]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazilian real
Context triple: [BCB, currencyIssued, Brazilian real]
  • A. Brazilian real chosen
    The Brazilian real is the official currency of Brazil, introduced in 1994 as part of an economic stabilization plan and later subjected to significant devaluation during the 1999 currency crisis.
  • B. Plano Real
    Plano Real was a landmark Brazilian economic stabilization plan launched in 1994 that successfully curbed hyperinflation and introduced the modern Brazilian currency, the real.
  • C. Portuguese real
    The Portuguese real was the former monetary unit of Portugal, used for centuries until it was replaced by the escudo in the early 20th century.
  • D. Argentine peso
    The Argentine peso is the official national currency of Argentina, used for everyday transactions and pricing throughout the country.
  • E. Uruguayan peso
    The Uruguayan peso is the official national currency of Uruguay, used for all everyday transactions and financial operations throughout 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aa964c8190a50717edff30f10b completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152c3f1e8819099f3f9d0f1d2d7b3 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:05 p.m.