Triple

T17582376
Position Surface form Disambiguated ID Type / Status
Subject Lurigancho-Chosica District E428235 entity
Predicate hasAlternativeName P39 FINISHED
Object Lurigancho NE NERFINISHED

How this triple was built (3 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: Lurigancho | Statement: [Lurigancho-Chosica District, hasAlternativeName, Lurigancho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lurigancho
Context triple: [Lurigancho-Chosica District, hasAlternativeName, Lurigancho]
  • A. Santiago de Surco
    Santiago de Surco is a large, predominantly residential and commercial district in southern Lima, Peru, known for its middle- to upper-class neighborhoods, shopping centers, and educational institutions.
  • B. San Juan de Lurigancho District
    San Juan de Lurigancho District is a populous urban district in the northeastern part of Lima, Peru, known for being one of the largest and most densely inhabited districts in the country.
  • C. Lavapiés
    Lavapiés is a central, historically working-class and now multicultural neighborhood in Madrid known for its vibrant street life, cultural venues, and diverse food scene.
  • D. San Miguel District
    San Miguel District is a coastal urban district of Lima, Peru, known for its residential areas, shopping centers, and views of the Pacific Ocean.
  • E. Barranco District
    Barranco District is a bohemian coastal neighborhood in Lima, Peru, known for its vibrant arts scene, nightlife, and historic architecture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lurigancho
Target entity description: Lurigancho is a district in the eastern part of Lima Province, Peru, known for its mix of urban and rural areas and for housing one of the country’s largest prisons.
  • A. Santiago de Surco
    Santiago de Surco is a large, predominantly residential and commercial district in southern Lima, Peru, known for its middle- to upper-class neighborhoods, shopping centers, and educational institutions.
  • B. San Juan de Lurigancho District
    San Juan de Lurigancho District is a populous urban district in the northeastern part of Lima, Peru, known for being one of the largest and most densely inhabited districts in the country.
  • C. Lavapiés
    Lavapiés is a central, historically working-class and now multicultural neighborhood in Madrid known for its vibrant street life, cultural venues, and diverse food scene.
  • D. San Miguel District
    San Miguel District is a coastal urban district of Lima, Peru, known for its residential areas, shopping centers, and views of the Pacific Ocean.
  • E. Barranco District
    Barranco District is a bohemian coastal neighborhood in Lima, Peru, known for its vibrant arts scene, nightlife, and historic architecture.
  • F. None of above. chosen

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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cf556881908d2935b3761f65df completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.