Triple

T3496472
Position Surface form Disambiguated ID Type / Status
Subject SkyDome E73862 entity
Predicate partOf P40 FINISHED
Object Toronto waterfront area 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 area | Statement: [SkyDome, partOf, Toronto waterfront area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto waterfront area
Context triple: [SkyDome, partOf, Toronto waterfront area]
  • 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. Harbourfront area
    The Harbourfront area in Kenora is a popular waterfront district known for its scenic views, public events, and recreational access to Lake of the Woods.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd16c0081908f13535f459618d1 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373cce4008190beb010b171bc4940 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.