Triple

T19996546
Position Surface form Disambiguated ID Type / Status
Subject Government of Chubut Province E494207 entity
Predicate usesCurrency P188 FINISHED
Object Argentine peso NE NERFINISHED

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: [Government of Chubut Province, usesCurrency, Argentine peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentine peso
Context triple: [Government of Chubut Province, usesCurrency, 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. Paraguayan peso
    The Paraguayan peso was the former official currency of Paraguay before it was succeeded by the Paraguayan guaraní.
  • D. Chilean peso
    The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe549108190947a4d1a587c08f8 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:32 p.m.