Triple

T5095536
Position Surface form Disambiguated ID Type / Status
Subject Arequipa Region E114854 entity
Predicate borders P224 FINISHED
Object Ica Region E62797 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: Ica Region | Statement: [Arequipa Region, borders, Ica Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ica Region
Context triple: [Arequipa Region, borders, Ica Region]
  • A. Ica Region chosen
    The Ica Region is a coastal department in southern Peru known for its desert landscapes, vineyards, and archaeological sites including the Nazca Lines.
  • B. 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.
  • C. Piura Region
    Piura Region is a coastal region in northwestern Peru known for its warm climate, beaches, and agricultural production.
  • D. Lima Province
    Lima Province is the coastal Peruvian province that contains the nation’s capital city, Lima, serving as the country’s main political, economic, and cultural hub.
  • E. 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.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75652a8081908386718f1fdb1de3 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c33898081908cd91ee65a078010 completed March 22, 2026, 4:12 a.m.
Created at: March 20, 2026, 1:40 p.m.