Triple

T854746
Position Surface form Disambiguated ID Type / Status
Subject Downtown Toronto E18465 entity
Predicate contains P35 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: [Downtown Toronto, contains, CN Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CN Tower
Context triple: [Downtown Toronto, contains, 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. Ontario Tower
    Ontario Tower is a prominent commercial and residential skyscraper located in Dubai’s Business Bay district.
  • C. 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.
  • D. Central Tower
    Central Tower is the slender, octagonal, spire-topped ventilation and bell tower rising from the middle of the Palace of Westminster in London.
  • E. Sky Tower
    Sky Tower is a prominent skyscraper complex in Wrocław, Poland, known as one of the tallest buildings in the country and a major commercial and residential hub.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3a48c08190b4677d825fcbfaf9 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792a29f448190b96d934656e5399e completed March 4, 2026, 2:02 a.m.
Created at: March 1, 2026, 7:39 p.m.