Triple

T22582759
Position Surface form Disambiguated ID Type / Status
Subject Uyuni Airport E544607 entity
Predicate hasIATAcode P2569 FINISHED
Object UYU 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: UYU | Statement: [Uyuni Airport, hasIATAcode, UYU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UYU
Context triple: [Uyuni Airport, hasIATAcode, UYU]
  • A. UYU chosen
    UYU is the IATA airport code for Uyuni Airport, which serves the town of Uyuni near Bolivia’s famous Salar de Uyuni salt flats.
  • B. Paraguayan peso
    The Paraguayan peso was the former official currency of Paraguay before it was succeeded by the Paraguayan guaraní.
  • C. Peruvian peso
    The Peruvian peso was a historical currency of Peru used during the 19th century before being replaced by later national monetary units.
  • D. Uruguayan peso
    The Uruguayan peso is the official national currency of Uruguay, used for all everyday transactions and financial operations throughout the country.
  • E. Peruvian sol
    The Peruvian sol is the official monetary unit of Peru, used for everyday transactions and economic activities 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15ff26d6481908cc058f8c4b87e75 completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.