Triple

T608014
Position Surface form Disambiguated ID Type / Status
Subject Colombia E12035 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: [Colombia, currency, Colombian peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombian peso
Context triple: [Colombia, 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. 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.
  • C. Chilean peso
    The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
  • D. Cuban peso
    The Cuban peso is the official monetary unit of Cuba, used primarily for domestic transactions and issued by the Central Bank of Cuba.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df34abc8190a578c8c2ab3d28e4 completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a52925321c8190a0d1df7a58096c4e completed March 2, 2026, 6:07 a.m.
Created at: March 1, 2026, 7:35 p.m.