Triple

T13612762
Position Surface form Disambiguated ID Type / Status
Subject No Name E325233 entity
Predicate availableInCountry P36171 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: [No Name, availableInCountry, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canada
Context triple: [No Name, availableInCountry, 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0abe1208190a1e0a32dc141d836 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f86f1248190922732247ff56f4d completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:50 p.m.