Triple

T133054
Position Surface form Disambiguated ID Type / Status
Subject Mexican peso E2692 entity
Predicate ISO4217Code P189 FINISHED
Object MXN E2692 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: MXN | Statement: [Mexican peso, ISO4217Code, MXN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MXN
Context triple: [Mexican peso, ISO4217Code, MXN]
  • 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. Chilean peso
    The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations 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. Peruvian sol
    The Peruvian sol is the official monetary unit of Peru, used for everyday transactions and economic activities throughout the country.
  • E. Mexico
    Mexico is a large North American country known for its rich pre-Columbian and colonial history, diverse cultures, and influential cuisine and arts.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257871b8c8190868838837c0058d6 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2aa46feb88190811b3db0f47325d7 completed Feb. 28, 2026, 8:41 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.