Triple

T6803534
Position Surface form Disambiguated ID Type / Status
Subject Shaw Communications E156243 entity
Predicate areaServed P82 FINISHED
Object Canada E14901 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: Canada | Statement: [Shaw Communications, areaServed, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canada
Context triple: [Shaw Communications, areaServed, Canada]
  • A. Canada chosen
    Canada is a large North American country known for its vast natural landscapes, bilingual English-French heritage, and stable parliamentary democracy.
  • B. Kanada
    Kanada was an ancient Indian philosopher who founded the Vaisheshika school of Hindu philosophy, known for its early atomic theory and analysis of reality through categories of substance and qualities.
  • C. ברית החדשה
    ברית החדשה היא אוסף כתבי הקודש המרכזי של הנצרות, המתאר את חייו ותורתו של ישו ואת ראשית הקהילה הנוצרית.
  • D. Canada East
    Canada East was the historical name for the predominantly French-speaking region that later became the province of Quebec in Canada.
  • E. United States and Canada
    The United States and Canada are neighboring North American countries that share the world’s longest international land border and have closely intertwined economic, cultural, and sporting ties.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e8d7888190a837620967a150e3 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a803fe08190b4dc32d09e91da07 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.