Triple

T1400213
Position Surface form Disambiguated ID Type / Status
Subject Port George VI Island Airport E30761 entity
Predicate operator P179 FINISHED
Object PortsToronto E46342 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: PortsToronto | Statement: [Port George VI Island Airport, operator, PortsToronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PortsToronto
Context triple: [Port George VI Island Airport, operator, 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 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.
  • D. 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.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c39c4c148190997150996ca26a99 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08ac24948190b85c8e38b34509c9 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 7:59 p.m.