Triple

T5616610
Position Surface form Disambiguated ID Type / Status
Subject Surquillo E147491 entity
Predicate belongsTo P35 FINISHED
Object Lima city proper E2605 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: Lima city proper | Statement: [Surquillo, belongsTo, Lima city proper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima city proper
Context triple: [Surquillo, belongsTo, Lima city proper]
  • A. Lima chosen
    Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
  • B. San Miguel district, Lima
    San Miguel district, Lima is a coastal urban district of Peru’s capital city known for its residential areas, shopping centers, and educational institutions.
  • C. Chiclayo
    Chiclayo is a major commercial and transportation hub in northern Peru, known for its nearby archaeological sites and vibrant regional culture.
  • D. Sucre
    Sucre is the constitutional capital of Bolivia, known for its well-preserved colonial architecture and historical significance in the country’s independence.
  • E. Cono Sur of Lima
    Cono Sur of Lima is a southern sector of Peru’s capital city that encompasses several coastal and inland districts, including Chorrillos, and is known for its mix of urban neighborhoods and growing residential areas.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021da7f848190bb1cd0270ad6398f completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097cc15348190b4db6db00f9b9faf completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:39 p.m.