Triple

T5551693
Position Surface form Disambiguated ID Type / Status
Subject Freirina E145540 entity
Predicate usesCurrency P188 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: [Freirina, usesCurrency, Chilean peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilean peso
Context triple: [Freirina, usesCurrency, 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe3e7788190aa5361b083197c17 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097b96f708190a40b67e32e4b4b47 completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:35 p.m.