Triple

T6304853
Position Surface form Disambiguated ID Type / Status
Subject Martin Goodman Trail E141348 entity
Predicate follows P134 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: [Martin Goodman Trail, follows, Toronto waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto waterfront
Context triple: [Martin Goodman Trail, follows, 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645f26a881909d5746151c0843cc completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603feee388190921239cda3772210 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:28 p.m.