Triple

T1548955
Position Surface form Disambiguated ID Type / Status
Subject Girardot E33042 entity
Predicate currency P245 FINISHED
Object Colombian peso E8242 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: Colombian peso | Statement: [Girardot, currency, Colombian peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombian peso
Context triple: [Girardot, currency, Colombian peso]
  • A. Colombian peso chosen
    The Colombian peso is the official national currency of Colombia, used for all everyday transactions and financial operations throughout the country.
  • B. Venezuelan bolívar
    The Venezuelan bolívar is the official fiat currency of Venezuela, historically affected by high inflation and multiple redenominations.
  • C. Colombian real
    The Colombian real was the historical currency of Colombia used during the colonial and early republican periods before being replaced by the Colombian peso.
  • D. Costa Rican colón
    The Costa Rican colón is the official monetary unit of Costa Rica, issued by the Central Bank of Costa Rica and commonly used for everyday transactions throughout the country.
  • E. Chilean peso
    The Chilean peso is the official monetary unit of Chile, used for 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a29ae88190ab1b2ca97b8ed09c completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.