Triple

T20366731
Position Surface form Disambiguated ID Type / Status
Subject Matarani E496929 entity
Predicate serves P98 FINISHED
Object Arequipa Region 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: Arequipa Region | Statement: [Matarani, serves, Arequipa Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arequipa Region
Context triple: [Matarani, serves, Arequipa Region]
  • A. Arequipa Region chosen
    The Arequipa Region is a southern Peruvian administrative area dominated by volcanic highlands and deep canyons, including parts of the Andes where some headwaters of the Amazon River originate.
  • B. Tarapacá Region
    Tarapacá Region is an administrative region in northern Chile known for its desert landscapes, mining industry, and the port city of Iquique.
  • C. Moquegua Region
    Moquegua Region is a sparsely populated region in southern Peru known for its volcanic landscapes, including the active Ubinas volcano, as well as its mining activities and agricultural production.
  • D. Cusco Region
    Cusco Region is a department in southeastern Peru known as the historic heartland of the Inca Empire and home to major archaeological sites including Machu Picchu and the Sacred Valley.
  • E. Lima Region
    Lima Region is an administrative region on the central coast of Peru that surrounds but does not include the country’s capital city, Lima.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6787291d88190a526fe2461d2a7c6 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.