Triple

T7885528
Position Surface form Disambiguated ID Type / Status
Subject Desire2Learn E183092 entity
Predicate alternativeName P39 FINISHED
Object D2L E183092 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: D2L | Statement: [Desire2Learn, alternativeName, D2L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D2L
Context triple: [Desire2Learn, alternativeName, D2L]
  • A. Desire2Learn chosen
    Desire2Learn is a Canadian educational technology company best known for its Brightspace learning management system used by schools, universities, and businesses worldwide.
  • B. 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.
  • C. MindTap
    MindTap is Cengage Learning’s digital learning platform that delivers interactive course materials, assessments, and personalized study tools for students and instructors.
  • D. Instructure
    Instructure is an educational technology company best known for developing the Canvas learning management system used by schools and universities worldwide.
  • E. LMS
    LMS was one of the "Big Four" British railway companies, operating an extensive network across London, the Midlands, Scotland, and parts of Wales from 1923 until nationalisation in 1948.
  • 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39d62a148190bed4e0d199aa427b completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b9286c881909ec01cb899e71d42 completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:59 p.m.