Triple

T1026134
Position Surface form Disambiguated ID Type / Status
Subject Arequipa E22142 entity
Predicate capitalOf P204 FINISHED
Object Arequipa Region E114854 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: Arequipa Region | Statement: [Arequipa, capitalOf, Arequipa Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arequipa Region
Context triple: [Arequipa, capitalOf, 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. 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.
  • D. 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.
  • E. Puno Region
    Puno Region is a high-altitude area in southeastern Peru known for its Andean culture and for encompassing much of Lake Titicaca, one of the world’s highest navigable lakes.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f5e7b48190b26524573c2824ba completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69acaca8b4f08190aec2602935bc112e completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:41 p.m.