Triple

T794192
Position Surface form Disambiguated ID Type / Status
Subject Nissan Leaf E16980 entity
Predicate soldInCountry P11351 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: [Nissan Leaf, soldInCountry, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canada
Context triple: [Nissan Leaf, soldInCountry, 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. 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.
  • C. America
    America is the landmass in the Western Hemisphere comprising the continents of North and South America, widely recognized for its vast geographic, cultural, and political diversity.
  • D. United States of America
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • E. British Columbia
    British Columbia is a western Canadian province known for its Pacific coastline, mountainous landscapes, and major cities such as Vancouver and Victoria.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a79b976c819085cd381bbd597ca5 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67ef349588190b2d4f6177a2f335e completed March 3, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:38 p.m.