Triple

T40570
Position Surface form Disambiguated ID Type / Status
Subject Time E801 entity
Predicate hasEdition P35 FINISHED
Object Time Canada E3449 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: Time Canada | Statement: [Time, hasEdition, Time Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time Canada
Context triple: [Time, hasEdition, Time Canada]
  • A. Time Canada chosen
    Time Canada was the Canadian regional edition of the American news magazine Time, tailored with content and coverage for Canadian readers.
  • B. North American time zones
    North American time zones are the standardized regional time divisions used across countries in North America, including zones such as Eastern, Central, Mountain, and Pacific Time.
  • C. Time South Pacific
    Time South Pacific is a regional edition of Time magazine tailored to news and issues relevant to readers in the South Pacific and surrounding Asia-Pacific areas.
  • D. Eastern Time Zone
    The Eastern Time Zone is a standard time zone used by the eastern portion of North America, including major U.S. cities such as New York and Washington, D.C.
  • E. Moscow Time
    Moscow Time is the standard time zone used in Moscow and much of western Russia, corresponding to UTC+3 year-round.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24adf3640819095576e072fb5d9a8 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255338b6c8190bb31101691ce689a completed Feb. 28, 2026, 2:38 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.