Triple

T12097568
Position Surface form Disambiguated ID Type / Status
Subject Ate District E288108 entity
Predicate hasRoadConnectionTo P11435 FINISHED
Object downtown Lima E15515 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: downtown Lima | Statement: [Ate District, hasRoadConnectionTo, downtown Lima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Lima
Context triple: [Ate District, hasRoadConnectionTo, downtown Lima]
  • A. historic centre of Lima chosen
    The historic centre of Lima is the colonial-era heart of Peru’s capital, renowned for its well-preserved Spanish architecture, grand plazas, and significant religious and civic buildings.
  • 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. 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.
  • D. Cono Oeste of Lima
    Cono Oeste of Lima is a western metropolitan sector of Peru’s capital that groups several coastal and urban districts, including San Miguel, for planning and administrative purposes.
  • E. La Molina, Lima, Peru
    La Molina is an affluent residential and educational district in eastern Lima, Peru, known for its universities, private schools, and relatively green, suburban environment.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91552645c81909aff601ab3d3c0e6 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6708f8881909c4f40a466bc0acf completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.