Triple

T10300695
Position Surface form Disambiguated ID Type / Status
Subject Parque México E241618 entity
Predicate near P350 FINISHED
Object Parque España E226643 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 España | Statement: [Parque México, near, Parque España]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parque España
Context triple: [Parque México, near, Parque España]
  • A. Parque España chosen
    Parque España is a popular urban park in Mexico City’s Condesa neighborhood, known for its leafy paths, Art Deco features, and vibrant community atmosphere.
  • B. Parque Europa
    Parque Europa is a themed park in Torrejón de Ardoz, Spain, featuring replicas of famous European monuments and landscaped recreational areas.
  • C. Madrid Río park
    Madrid Río park is a large urban green space in Madrid that features recreational areas, cultural facilities, and landscaped promenades along the banks of the Manzanares River.
  • D. Parque Juan Carlos I de Pinto
    Parque Juan Carlos I de Pinto is a public urban park in the town of Pinto, Spain, offering green spaces, recreational areas, and outdoor facilities for local residents and visitors.
  • E. Parque Castillo
    Parque Castillo is a public park in the city of Orizaba, Veracruz, known as a local green space for recreation and community gatherings.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2eefe8881908a672c4dca7657ca completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d3f2c2c8190a71e4a896d8753e7 completed April 9, 2026, 3:30 a.m.
Created at: April 6, 2026, 11:44 a.m.