Triple

T22582776
Position Surface form Disambiguated ID Type / Status
Subject Uyuni Airport E544607 entity
Predicate cityServed P82 FINISHED
Object Uyuni 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: Uyuni | Statement: [Uyuni Airport, cityServed, Uyuni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uyuni
Context triple: [Uyuni Airport, cityServed, Uyuni]
  • A. Uyuni chosen
    Uyuni is a small town in southwestern Bolivia that serves as the main gateway for tourists visiting the vast Salar de Uyuni salt flats.
  • B. San Pedro de Curahuara
    San Pedro de Curahuara is a small Bolivian town that serves as an administrative and service center in the Andean region of La Paz Department.
  • C. Yumbel
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • D. Chujuyup
    Chujuyup is an archaeological site near Chichicastenango in Guatemala, known for its pre-Columbian Maya remains and cultural significance.
  • E. El Alto
    El Alto is a rapidly growing Bolivian city adjacent to La Paz, known for its high altitude, vibrant Aymara culture, and role as a major commercial and transportation hub.
  • 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.