Triple

T18487066
Position Surface form Disambiguated ID Type / Status
Subject HTO Park E451717 entity
Predicate hasView P854 FINISHED
Object Toronto Harbour E96322 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: Toronto Harbour | Statement: [HTO Park, hasView, Toronto Harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Harbour
Context triple: [HTO Park, hasView, Toronto Harbour]
  • A. Toronto Harbour chosen
    Toronto Harbour is the natural bay on Lake Ontario that forms Toronto’s waterfront, encompassing key features such as the Toronto Islands and the city’s main port facilities.
  • B. Toronto Islands
    The Toronto Islands are a chain of small, car-free islands in Lake Ontario that form a popular recreational park area just offshore from downtown Toronto.
  • C. Mississauga
    Mississauga is a large, diverse Canadian city in the Greater Toronto Area known for its major airport, corporate headquarters, and extensive suburban communities.
  • D. Toronto Hydro
    Toronto Hydro is the primary electricity distribution company serving homes and businesses in the city of Toronto, Ontario.
  • E. Owen Sound
    Owen Sound is a small port city on Georgian Bay in southwestern Ontario, Canada, known for its waterfront, regional services, and surrounding natural attractions.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d7e79c819083bf5c54faaa4810 completed April 19, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049acadbf48190b71688c715f36c77 completed May 13, 2026, 3:37 p.m.
Created at: April 10, 2026, 11:35 a.m.