Triple

T1876924
Position Surface form Disambiguated ID Type / Status
Subject 2016 Summer Olympics E39164 entity
Predicate currencyOfBudget P11731 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: [2016 Summer Olympics, currencyOfBudget, Brazilian real]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brazilian real
Context triple: [2016 Summer Olympics, currencyOfBudget, 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. Chilean peso
    The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
  • C. Venezuelan bolívar
    The Venezuelan bolívar is the official fiat currency of Venezuela, historically affected by high inflation and multiple redenominations.
  • D. Guaranda
    Guaranda is a small Andean city in central Ecuador known for its traditional architecture, indigenous culture, and vibrant Carnival celebrations.
  • E. Peruvian sol
    The Peruvian sol is the official monetary unit of Peru, used for everyday transactions and economic activities 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0da543481908ab25806e6b80375 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf56e2748190a2044d33d29d8324 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.