Triple

T18366325
Position Surface form Disambiguated ID Type / Status
Subject San Vicente de Cañete E440054 entity
Predicate partOf P40 FINISHED
Object Lima Department 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: Lima Department | Statement: [San Vicente de Cañete, partOf, Lima Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima Department
Context triple: [San Vicente de Cañete, partOf, Lima Department]
  • A. 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.
  • B. Lima Region chosen
    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. Chiclayo Province
    Chiclayo Province is an administrative division in the Lambayeque Region of northern Peru, known for its urban center, commercial activity, and proximity to important archaeological sites.
  • D. Sucre Department
    Sucre Department is an administrative region in northern Colombia, known for its Caribbean coastline, agricultural economy, and capital city Sincelejo.
  • E. Arequipa District
    Arequipa District is the central urban district of the city of Arequipa in southern Peru, known for its historic colonial architecture and role as the region’s administrative and commercial hub.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174e834481909453ba25561d1b1d completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.