Triple

T17689325
Position Surface form Disambiguated ID Type / Status
Subject Outer Harbour E440981 entity
Predicate governingBody P46 FINISHED
Object PortsToronto NE NERFINISHED

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: PortsToronto | Statement: [Outer Harbour, governingBody, PortsToronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PortsToronto
Context triple: [Outer Harbour, governingBody, PortsToronto]
  • A. PortsToronto chosen
    PortsToronto is a government business enterprise that manages and operates key transportation and waterfront assets in Toronto, including Billy Bishop Toronto City Airport and the city’s port and marina facilities.
  • B. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • C. Toronto Centre
    Toronto Centre is a densely populated federal electoral district in downtown Toronto, Ontario, known for its diverse communities and significant political prominence.
  • D. Port of Toronto
    The Port of Toronto is a key Canadian inland port on Lake Ontario that handles cargo, cruise ships, and other marine traffic serving the Greater Toronto Area.
  • E. Toronto Harbour
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704a6bb4819083752285baf3b3ee completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:03 a.m.