Triple

T5638101
Position Surface form Disambiguated ID Type / Status
Subject Cinesphere E124197 entity
Predicate operator P179 FINISHED
Object Ontario Place E23341 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: Ontario Place | Statement: [Cinesphere, operator, Ontario Place]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ontario Place
Context triple: [Cinesphere, operator, Ontario Place]
  • A. Ontario Place chosen
    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.
  • B. Exhibition Place
    Exhibition Place is a large entertainment, convention, and sports complex on Toronto’s waterfront that hosts major events and fairs, including the Canadian National Exhibition.
  • C. 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.
  • D. Golden Gardens Park
    Golden Gardens Park is a popular waterfront park in Seattle, Washington, known for its sandy beach on Puget Sound, mountain views, wetlands, and forested trails.
  • E. Canobie Lake Park
    Canobie Lake Park is a historic seasonal amusement park in Salem, New Hampshire, known for its classic rides, family attractions, and lakeside setting.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022820b7c81908f79c0a124d6b940 completed March 22, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dae1744819083cc8827ade7478c completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:41 p.m.