Triple

T559654
Position Surface form Disambiguated ID Type / Status
Subject Altiplano plateau E13418 entity
Predicate notableCity P2813 FINISHED
Object Puno E61910 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: Puno | Statement: [Altiplano plateau, notableCity, Puno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puno
Context triple: [Altiplano plateau, notableCity, Puno]
  • A. Puno chosen
    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.
  • B. Arequipa
    Arequipa is Peru’s second-largest city, known for its colonial architecture built from white volcanic stone and its dramatic setting beneath the Misti volcano.
  • C. Cochabamba
    Cochabamba is a major city in central Bolivia known for its mild climate, agricultural productivity, and role as an important economic and cultural center.
  • D. San Pedro de Atacama
    San Pedro de Atacama is a small Chilean town in the Andes renowned as a gateway for tourists exploring the surrounding Atacama Desert’s salt flats, geysers, and high-altitude landscapes.
  • E. Tarija
    Tarija is a city in southern Bolivia known for its colonial architecture, mild climate, and surrounding wine-producing valleys.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499e13694819087a236bffa6601a9 completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a55544eda481908fae6a9f77ff9d97 completed March 2, 2026, 9:15 a.m.
Created at: March 1, 2026, 7:32 p.m.