Triple

T723309
Position Surface form Disambiguated ID Type / Status
Subject Lima Region E14664 entity
Predicate containsCity P294 FINISHED
Object San Vicente de Cañete E98530 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: San Vicente de Cañete | Statement: [Lima Region, containsCity, San Vicente de Cañete]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Vicente de Cañete
Context triple: [Lima Region, containsCity, San Vicente de Cañete]
  • A. San Borja
    San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
  • B. San Juan de Rioseco
    San Juan de Rioseco is a small municipality and town located in the Cundinamarca Department of central Colombia, known for its rural character and Andean landscapes.
  • C. San José de los Cedros
    San José de los Cedros is a residential neighborhood located within the borough of Cuajimalpa de Morelos in Mexico City.
  • D. Santa Cruz del Norte
    Santa Cruz del Norte is a coastal Cuban municipality known for its rum distilleries and location between Havana and Matanzas along the island’s northern shore.
  • E. Cañete chosen
    Cañete is a coastal province and agricultural hub in central Peru, known for its fertile valleys, Afro-Peruvian cultural heritage, and production of crops like grapes and cotton.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a5360c8190b16e1e4f4206d0aa completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79280fa5c819098397cc1b5c626c0 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.