Triple

T17535656
Position Surface form Disambiguated ID Type / Status
Subject Ate-Vitarte E427051 entity
Predicate usesCurrency P188 FINISHED
Object Peruvian sol 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: Peruvian sol | Statement: [Ate-Vitarte, usesCurrency, Peruvian sol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peruvian sol
Context triple: [Ate-Vitarte, usesCurrency, Peruvian sol]
  • A. Peruvian sol chosen
    The Peruvian sol is the official monetary unit of Peru, used for everyday transactions and economic activities throughout the country.
  • B. Chilean peso
    The Chilean peso is the official monetary unit of Chile, used for everyday transactions and financial operations throughout the country.
  • C. UYU
    UYU is the IATA airport code for Uyuni Airport, which serves the town of Uyuni near Bolivia’s famous Salar de Uyuni salt flats.
  • D. Bolivian boliviano
    The Bolivian boliviano is the official currency of Bolivia, used for everyday transactions and issued by the Central Bank of Bolivia.
  • E. Guaranda
    Guaranda is a small Andean city in central Ecuador known for its traditional architecture, indigenous culture, and vibrant Carnival celebrations.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536b8d6c8190906314708001a830 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.