Triple

T5548027
Position Surface form Disambiguated ID Type / Status
Subject La Pampa Province E145456 entity
Predicate currency P245 FINISHED
Object Argentine peso E251248 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: Argentine peso | Statement: [La Pampa Province, currency, Argentine peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentine peso
Context triple: [La Pampa Province, currency, Argentine peso]
  • A. Argentine peso chosen
    The Argentine peso is the official national currency of Argentina, used for everyday transactions and pricing throughout the country.
  • B. Uruguayan peso
    The Uruguayan peso is the official national currency of Uruguay, used for all everyday transactions and financial operations throughout the country.
  • C. Chilean peso
    The Chilean peso is the official monetary unit of Chile, used for 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. 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_69c01fe0244c8190aeb995f79f22a039 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d6edb7481908e94de7314ca70cc completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:35 p.m.