Triple

T19444155
Position Surface form Disambiguated ID Type / Status
Subject Bolivian Andes E486428 entity
Predicate contains P35 FINISHED
Object Tunupa 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: Tunupa | Statement: [Bolivian Andes, contains, Tunupa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunupa
Context triple: [Bolivian Andes, contains, Tunupa]
  • A. Tunupa chosen
    Tunupa is a prominent dormant volcano and sacred mountain in Bolivia, overlooking the Uyuni Salt Flat on the country’s Andean Altiplano.
  • B. Tambomachay
    Tambomachay is an Inca archaeological site near Cusco, Peru, known for its finely crafted stonework and ceremonial water fountains.
  • C. Tupungato
    Tupungato is a renowned high-altitude wine-producing area in Argentina’s Mendoza province, celebrated especially for its Malbec and other premium varietals.
  • D. Huancané
    Huancané is a town in southern Peru that serves as an administrative and commercial center in the Puno region near Lake Titicaca.
  • E. Tumebamba
    Tumebamba was a prominent Inca imperial city in the northern highlands, serving as a key administrative and ceremonial center in what is now southern Ecuador.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63387e2048190bfb13fea434ddb46 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.