Triple

T8779969
Position Surface form Disambiguated ID Type / Status
Subject Oruro railway junction E208699 entity
Predicate connectsCity P4245 FINISHED
Object Uyuni E127176 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: Uyuni | Statement: [Oruro railway junction, connectsCity, Uyuni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uyuni
Context triple: [Oruro railway junction, connectsCity, 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. Yumbel
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • C. 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.
  • D. Puno
    Puno is a city in southeastern Peru on the shores of Lake Titicaca, known as a cultural center of the Andean highlands and a gateway to the lake’s islands.
  • E. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f548aa48190b2e73f292758e361 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51df4a608190883a093dbd169976 completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.