Triple

T22747597
Position Surface form Disambiguated ID Type / Status
Subject Graneros E562593 entity
Predicate hasCurrency P245 FINISHED
Object Chilean 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: Chilean peso | Statement: [Graneros, hasCurrency, Chilean peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilean peso
Context triple: [Graneros, hasCurrency, Chilean peso]
  • A. Chilean peso chosen
    The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
  • B. Argentine peso
    The Argentine peso is the official national currency of Argentina, used for everyday transactions and pricing throughout the country.
  • C. Uruguayan peso
    The Uruguayan peso is the official national currency of Uruguay, used for all everyday transactions and financial operations throughout the country.
  • D. Paraguayan peso
    The Paraguayan peso was the former official currency of Paraguay before it was succeeded by the Paraguayan guaraní.
  • E. Peruvian peso
    The Peruvian peso was a historical currency of Peru used during the 19th century before being replaced by later national monetary units.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b702388190b134dde5f80ea3cd completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.