Triple

T3123953
Position Surface form Disambiguated ID Type / Status
Subject Tecate urban area E65250 entity
Predicate currency P245 FINISHED
Object Mexican peso 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: Mexican peso | Statement: [Tecate urban area, currency, Mexican peso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexican peso
Context triple: [Tecate urban area, currency, 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 (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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52d856c8190a5d65b8a6452be21 completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f72c2048190ab2aa40a109f5976 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.