Triple

T912409
Position Surface form Disambiguated ID Type / Status
Subject Spadina streetcar line E19689 entity
Predicate serves P98 FINISHED
Object Entertainment District, Toronto E18465 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: Entertainment District, Toronto | Statement: [Spadina streetcar line, serves, Entertainment District, Toronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Entertainment District, Toronto
Context triple: [Spadina streetcar line, serves, Entertainment District, Toronto]
  • A. Downtown Toronto chosen
    Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
  • B. Midtown Toronto
    Midtown Toronto is a central district of Toronto known for its mix of residential neighborhoods, historic landmarks, and vibrant commercial areas.
  • C. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • D. Ontario Place
    Ontario Place is a waterfront entertainment, cultural, and park complex on the shores of Lake Ontario in Toronto, known for its iconic architecture and public recreational spaces.
  • E. North York
    North York is a major district in the north end of Toronto, Ontario, known for its dense urban development, shopping centers, and mixed residential and commercial areas.
  • 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_69a9339e557c81908d4d44f922994ba0 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:39 p.m.