Triple

T2448841
Position Surface form Disambiguated ID Type / Status
Subject Old Toronto E53654 entity
Predicate contains P35 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: [Old Toronto, contains, Queen's Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen's Park
Context triple: [Old Toronto, contains, Queen's Park]
  • A. 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.
  • B. Queen’s Park chosen
    Queen’s Park is a large public park and the site of Ontario’s Legislative Building in downtown Toronto, Canada.
  • C. Hampden Park
    Hampden Park is Scotland’s national football stadium in Glasgow, renowned for hosting major domestic and international matches and historic cup finals.
  • D. Queen's Park Oval
    Queen's Park Oval is a historic cricket stadium in Port of Spain, Trinidad and Tobago, renowned as one of the Caribbean's premier international cricket venues.
  • E. Trafford Park
    Trafford Park is a large industrial estate and commercial area in Greater Manchester, England, historically known as one of the world’s first planned industrial parks.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0dc7ed88190920afd4817c621c9 completed March 7, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c0069c8190bfb9e71aea4774d3 completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.