Triple

T12325450
Position Surface form Disambiguated ID Type / Status
Subject Canvas E293816 entity
Predicate developer P73 FINISHED
Object Instructure E59933 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: Instructure | Statement: [Canvas, developer, Instructure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Instructure
Context triple: [Canvas, developer, Instructure]
  • A. Instructure chosen
    Instructure is an educational technology company best known for developing the Canvas learning management system used by schools and universities worldwide.
  • B. Desire2Learn
    Desire2Learn is a Canadian educational technology company best known for its Brightspace learning management system used by schools, universities, and businesses worldwide.
  • C. Canvas LMS
    Canvas LMS is a widely used cloud-based learning management system designed to help schools, universities, and organizations deliver, manage, and track online and blended courses.
  • D. MindTap
    MindTap is Cengage Learning’s digital learning platform that delivers interactive course materials, assessments, and personalized study tools for students and instructors.
  • E. LMS
    LMS is the commonly used abbreviation for the London Missionary Society, a major Protestant missionary organization founded in Britain in the late 18th century.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4e7e588190b37e2413bc649198 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8ed1dc81908a0066d7cbfda086 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:53 p.m.