Triple

T4747150
Position Surface form Disambiguated ID Type / Status
Subject Cabrero E105387 entity
Predicate currency P245 FINISHED
Object Chilean peso E895 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: Chilean peso | Statement: [Cabrero, currency, Chilean peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilean peso
Context triple: [Cabrero, currency, 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. Peruvian sol
    The Peruvian sol is the official monetary unit of Peru, used for everyday transactions and economic activities throughout the country.
  • E. Bolivian boliviano
    The Bolivian boliviano is the official currency of Bolivia, used for everyday transactions and issued by the Central Bank of Bolivia.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c3fcb081909b1fe867b4adac8b completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a46fd608190a81b13d0f687d4ed completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.