Triple

T20157893
Position Surface form Disambiguated ID Type / Status
Subject Metro de la Ciudad de México E491620 entity
Predicate fareCurrency P188 FINISHED
Object Mexican 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: Mexican peso | Statement: [Metro de la Ciudad de México, fareCurrency, Mexican peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexican peso
Context triple: [Metro de la Ciudad de México, fareCurrency, Mexican peso]
  • A. Mexican peso chosen
    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.
  • B. Colombian escudo
    The Colombian escudo was a historical currency of Colombia used primarily during the colonial and early republican periods before being replaced by the Colombian peso.
  • C. Chilean peso
    The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
  • D. Argentine peso
    The Argentine peso is the official national currency of Argentina, used for everyday transactions and pricing throughout the country.
  • E. Colombian peso
    The Colombian peso is the official national currency of Colombia, used for all everyday transactions and financial operations throughout the country.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e18a0c8190a2cc2b305da28047 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.