Triple

T6260663
Position Surface form Disambiguated ID Type / Status
Subject Parque Central de Miraflores E140287 entity
Predicate hasPart P35 FINISHED
Object Parque Kennedy E139904 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: Parque Kennedy | Statement: [Parque Central de Miraflores, hasPart, Parque Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parque Kennedy
Context triple: [Parque Central de Miraflores, hasPart, Parque Kennedy]
  • A. Parque Kennedy chosen
    Parque Kennedy is a central urban park and social hub in the Miraflores district of Lima, Peru, known for its lively atmosphere, street vendors, and resident cats.
  • B. San Pablo Park
    San Pablo Park is a historic neighborhood park in Berkeley, California, known for its large open fields, sports facilities, and community gathering spaces.
  • C. Tanguá Park
    Tanguá Park is a scenic urban park in Curitiba, Brazil, known for its dramatic cliffs, lakes, tunnels, and panoramic viewpoints.
  • D. Parque López
    Parque López is a public park located in the city of Orizaba, Mexico, serving as a local recreational and green space for residents and visitors.
  • E. Fundidora Park
    Fundidora Park is a large urban park and cultural complex in Monterrey, Mexico, built on the grounds of a former steel foundry and known for its industrial heritage, museums, and recreational spaces.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063856f308190a351a661caaae5f9 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c24444b85c8190adf09c473b42ea9b completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:24 p.m.