Triple

T590646
Position Surface form Disambiguated ID Type / Status
Subject Roberts E17259 entity
Predicate usedAsSurnameInCountry P15990 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: [Roberts, usedAsSurnameInCountry, Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canada
Context triple: [Roberts, usedAsSurnameInCountry, 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. 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.
  • D. British Columbia
    British Columbia is a western Canadian province known for its Pacific coastline, mountainous landscapes, and major cities such as Vancouver and Victoria.
  • E. Quebec, Canada
    Quebec, Canada is a predominantly French-speaking province in eastern Canada known for its rich cultural heritage, historic cities like Quebec City and Montreal, and vast natural landscapes.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49d2a5f5481908bb9a71ff0f534d4 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a518c214088190963746dcb402b0b1 completed March 2, 2026, 4:57 a.m.
Created at: March 1, 2026, 7:33 p.m.