Triple

T16724551
Position Surface form Disambiguated ID Type / Status
Subject WEOG E406435 entity
Predicate hasMember P10 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: [WEOG, hasMember, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canada
Context triple: [WEOG, hasMember, 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. Canada Larga
    Canada Larga is a small valley and creek area in Ventura County, California, known for its rural landscape and role as a tributary within the Ventura River watershed.
  • D. ברית החדשה
    ברית החדשה היא אוסף כתבי הקודש המרכזי של הנצרות, המתאר את חייו ותורתו של ישו ואת ראשית הקהילה הנוצרית.
  • E. Canada East
    Canada East was the historical name for the predominantly French-speaking region that later became the province of Quebec in Canada.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38746c8fc81908b9fade26f37be11 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3f776c8190865a669fc63056b3 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.