Triple

T21619105
Position Surface form Disambiguated ID Type / Status
Subject Uyuni railway junction E533527 entity
Predicate locatedIn P40 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 railway junction, locatedIn, Uyuni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uyuni
Context triple: [Uyuni railway junction, locatedIn, 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bad094c8190879d4aef7988254a completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:34 p.m.