Triple

T1303723
Position Surface form Disambiguated ID Type / Status
Subject BCCh E27825 entity
Predicate currencyIssued P6033 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: [BCCh, currencyIssued, Chilean peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chilean peso
Context triple: [BCCh, currencyIssued, 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c116d7d881908ee631258f80980e completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb3046a888190956f6bedb6ec589f completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.