Triple

T13089925
Position Surface form Disambiguated ID Type / Status
Subject Urubamba Province E310434 entity
Predicate borders P224 FINISHED
Object Calca Province E312805 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: Calca Province | Statement: [Urubamba Province, borders, Calca Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calca Province
Context triple: [Urubamba Province, borders, Calca Province]
  • A. Calca Province chosen
    Calca Province is an administrative province in Peru’s Cusco Region, known for its Andean landscapes, traditional Quechua communities, and proximity to the Sacred Valley of the Incas.
  • B. Julcán Province
    Julcán Province is an administrative province located in the Andean highlands of northern Peru.
  • C. Pallasca Province
    Pallasca Province is an administrative division in the Ancash Region of northern Peru, known for its Andean highlands and archaeological sites.
  • D. Cautín Province
    Cautín Province is an administrative division in southern Chile’s Araucanía Region, known for its capital city Temuco and its significant Mapuche cultural presence.
  • E. Talagante Province
    Talagante Province is an administrative division in Chile’s Santiago Metropolitan Region, characterized by a mix of agricultural lands, growing urban areas, and its location in the Maipo River basin.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff3643a23481909103166abb6aaa4e completed May 9, 2026, 1:27 p.m.
Created at: April 9, 2026, 9:03 p.m.