Triple

T14851421
Position Surface form Disambiguated ID Type / Status
Subject MaRS Discovery District E349235 entity
Predicate near P350 FINISHED
Object Queen’s Park E36386 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: Queen’s Park | Statement: [MaRS Discovery District, near, Queen’s Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Queen’s Park
Context triple: [MaRS Discovery District, near, Queen’s Park]
  • A. Queen’s Park chosen
    Queen’s Park is a large public park and the site of Ontario’s Legislative Building in downtown Toronto, Canada.
  • B. Queen’s Park
    Queen’s Park is a historic Scottish football club based in Glasgow, known for its amateur roots and significant role in the early development of the sport.
  • C. Queen’s Park
    Queen’s Park is a historic public park in Loughborough, England, known for its landscaped gardens, bandstand, and community events.
  • D. Queen’s Park
    Queen’s Park is a residential district and public park area in northwest London known for its Victorian terraces, green space, and community atmosphere.
  • E. Queen's Park
    Queen's Park is a historic urban park and recreational area in New Westminster, British Columbia, known for its sports facilities, green spaces, and community events.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded441e70881909bbf62b66d932aff completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6504ac6081908074231cf628fd39 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.