Triple

T1618138
Position Surface form Disambiguated ID Type / Status
Subject Copiapó E34766 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: [Copiapó, currency, Chilean peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilean peso
Context triple: [Copiapó, 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. Peruvian sol
    The Peruvian sol is the official monetary unit of Peru, used for everyday transactions and economic activities throughout the country.
  • C. Colombian peso
    The Colombian peso is the official national currency of Colombia, used for all everyday transactions and financial operations throughout the country.
  • D. Mexican peso
    The Mexican peso is Mexico's official national currency and one of the most traded currencies in the world, widely used in international foreign exchange markets.
  • E. Guaranda
    Guaranda is a small Andean city in central Ecuador known for its traditional architecture, indigenous culture, and vibrant Carnival celebrations.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909addb348190a80a97422efcaa63 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51cf7b7c8190847ab6795fb5613b completed March 8, 2026, 10:39 a.m.
Created at: March 4, 2026, 7:28 p.m.