Triple

T4447402
Position Surface form Disambiguated ID Type / Status
Subject Toronto Harbour E96322 entity
Predicate borderedBy P224 FINISHED
Object Toronto waterfront 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 waterfront | Statement: [Toronto Harbour, borderedBy, Toronto waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto waterfront
Context triple: [Toronto Harbour, borderedBy, Toronto waterfront]
  • 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 City Marina
    Toronto City Marina is a public marina on Toronto’s waterfront that provides docking and boating services for recreational vessels near the city’s downtown core.
  • C. Downtown Toronto
    Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
  • D. waterfront Toronto
    Waterfront Toronto is a revitalized urban district along Toronto’s Lake Ontario shoreline featuring mixed-use developments, public spaces, and transit access.
  • E. Port Credit
    Port Credit is a historic waterfront neighbourhood and entertainment district along Lake Ontario in the city of Mississauga, Ontario, known for its marina, restaurants, and festivals.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d31e10819086590b9f828d50b0 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61386df48819080e44a23b9d67d23 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.