Triple

T458334
Position Surface form Disambiguated ID Type / Status
Subject Casa Loma E7279 entity
Predicate hasViewOf P854 FINISHED
Object Toronto skyline E18465 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 skyline | Statement: [Casa Loma, hasViewOf, Toronto skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto skyline
Context triple: [Casa Loma, hasViewOf, Toronto skyline]
  • A. Downtown Toronto chosen
    Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
  • B. Toronto sign
    The Toronto sign is a large, illuminated public art installation that spells out the city's name and serves as an iconic photo spot and gathering place in downtown Toronto.
  • C. CN Tower
    The CN Tower is a prominent communications and observation tower in downtown Toronto, Canada, and one of the city's most recognizable skyline landmarks.
  • D. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • E. Toronto City Hall
    Toronto City Hall is a distinctive modernist civic complex in downtown Toronto that houses the city's municipal government and is one of its most recognizable architectural landmarks.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa3163081909acff040a22bd559 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a457fed1548190b50d72886828b650 completed March 1, 2026, 3:15 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.