Triple

T18841003
Position Surface form Disambiguated ID Type / Status
Subject City of Toronto park system E460794 entity
Predicate hasComponent P35 FINISHED
Object Marie Curtis Park NE NERFINISHED

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: Marie Curtis Park | Statement: [City of Toronto park system, hasComponent, Marie Curtis Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Curtis Park
Context triple: [City of Toronto park system, hasComponent, Marie Curtis Park]
  • A. Marie Curtis Park chosen
    Marie Curtis Park is a waterfront public park in Toronto, Ontario, known for its beach, trails, and natural areas along the shores of Lake Ontario.
  • B. Marshall Park
    Marshall Park is a small neighborhood green space in Seattle, Washington, known for its scenic overlook and quiet urban setting.
  • C. Burnside Park
    Burnside Park is a public urban park in downtown Providence, Rhode Island, known as a central green space and gathering area adjacent to Kennedy Plaza.
  • D. Maud Wood Park
    Maud Wood Park was an American suffragist and political activist who played a key role in securing women’s right to vote and later became the first president of the League of Women Voters.
  • E. Grandview Park
    Grandview Park is a scenic public park in Pittsburgh, Pennsylvania, known for its panoramic views of the city skyline and the Monongahela River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ea35c88190af6659551ad18130 completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.