Triple

T4366379
Position Surface form Disambiguated ID Type / Status
Subject Toronto Island Park E98783 entity
Predicate locatedOn P40 FINISHED
Object Toronto Islands E16871 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 Islands | Statement: [Toronto Island Park, locatedOn, Toronto Islands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Islands
Context triple: [Toronto Island Park, locatedOn, Toronto Islands]
  • A. Toronto Islands chosen
    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.
  • B. 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.
  • C. 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.
  • D. Port Arthur, Ontario
    Port Arthur, Ontario was a former city on the north shore of Lake Superior that served as a key transportation and shipping hub before amalgamating into the modern city of Thunder Bay.
  • E. Etobicoke
    Etobicoke is a large suburban district in the western part of Toronto, Ontario, known for its residential neighborhoods, parks, and industrial areas along the waterfront.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35200263081909bb326a4d7a8db99 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5d4612c8190ac5163d50299f8ab completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:17 p.m.