Triple

T6676071
Position Surface form Disambiguated ID Type / Status
Subject Olympic Island Park E151854 entity
Predicate hasViewOf P854 FINISHED
Object CN Tower E4888 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: CN Tower | Statement: [Olympic Island Park, hasViewOf, CN Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CN Tower
Context triple: [Olympic Island Park, hasViewOf, CN Tower]
  • A. CN Tower chosen
    The CN Tower is a prominent communications and observation tower in downtown Toronto, Canada, and one of the city's most recognizable skyline landmarks.
  • B. Calgary Tower
    The Calgary Tower is a prominent observation tower and city landmark in downtown Calgary, Alberta, known for its panoramic views and glass-floored observation deck.
  • C. Montreal Tower
    Montreal Tower is an inclined observation and sports tower attached to Montreal's Olympic Stadium, known for its dramatic leaning design and panoramic city views.
  • D. Ontario Tower
    Ontario Tower is a prominent commercial and residential skyscraper located in Dubai’s Business Bay district.
  • E. TD Canada Trust Tower
    TD Canada Trust Tower is a prominent office skyscraper in downtown Toronto that forms part of the Brookfield Place complex and houses major financial and corporate tenants.
  • 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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0f4184481908869354addf4f8c4 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7a57bd88190a423ff7d2139aa51 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:03 p.m.