Triple

T912413
Position Surface form Disambiguated ID Type / Status
Subject Spadina streetcar line E19689 entity
Predicate serves P98 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: [Spadina streetcar line, serves, Toronto waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto waterfront
Context triple: [Spadina streetcar line, serves, 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. 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.
  • C. 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.
  • D. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • E. Harbourfront Centre
    Harbourfront Centre is a major arts, culture, and recreational hub located along Toronto’s waterfront, known for its galleries, theatres, festivals, and public events.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2df9ba88190824437026796586f completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5e59588190b9d2bb00adf5c871 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:39 p.m.