Triple

T2754215
Position Surface form Disambiguated ID Type / Status
Subject Puno Region E61061 entity
Predicate borders P224 FINISHED
Object Moquegua Region E315385 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: Moquegua Region | Statement: [Puno Region, borders, Moquegua Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moquegua Region
Context triple: [Puno Region, borders, Moquegua Region]
  • A. Moquegua Region chosen
    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.
  • B. Madre de Dios Region
    Madre de Dios Region is a sparsely populated, biodiverse region in southeastern Peru known for its Amazon rainforest, protected natural reserves, and ecotourism.
  • C. Apurímac Region
    Apurímac Region is an Andean region in southern Peru known for its deep canyons, highland landscapes, and predominantly Quechua-speaking rural communities.
  • 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. Arequipa Region
    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.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb7073d081909da84b21015972f2 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69b31a46eea081909e1faf639f7789ff completed March 12, 2026, 7:55 p.m.
Created at: March 6, 2026, 9:56 p.m.