Triple

T4670645
Position Surface form Disambiguated ID Type / Status
Subject North York E102952 entity
Predicate hasPark P105 FINISHED
Object Downsview Park E297960 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: Downsview Park | Statement: [North York, hasPark, Downsview Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downsview Park
Context triple: [North York, hasPark, Downsview Park]
  • A. Downsview Park chosen
    Downsview Park is a large urban park in Toronto, Canada, known for its expansive green spaces, recreational facilities, and role as a venue for major public events and festivals.
  • B. Simcoe Park
    Simcoe Park is a small urban green space in downtown Toronto’s Entertainment District, offering a landscaped retreat amid theatres, restaurants, and high-rise buildings.
  • C. Eglinton Park
    Eglinton Park is a large multi-use public park in Toronto known for its sports fields, recreation facilities, and community events.
  • D. Normandie Park
    Normandie Park is a neighborhood park in Central Los Angeles that provides local residents with green space and recreational facilities.
  • E. Thorncliffe Park
    Thorncliffe Park is a diverse, high-density residential neighbourhood in Toronto, Ontario, known for its large immigrant community and cluster of apartment towers.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd634ef5608190925663e988e3585b completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0390c238819089fb54648dfe1e64 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.