Triple

T4879686
Position Surface form Disambiguated ID Type / Status
Subject Río Negro Province E109291 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: [Río Negro Province, currency, Argentine peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentine peso
Context triple: [Río Negro 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dbf37ac819085bb758bc6406271 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6803a1c081908972984241276c19 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.