Triple
T2714402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canvas LMS |
E59934
|
entity |
| Predicate | operatedBy |
P86
|
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 LMS, operatedBy, Instructure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Instructure Context triple: [Canvas LMS, operatedBy, 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.
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.
-
E.
LMS
LMS is the London Mathematical Society, a leading UK organization dedicated to advancing and promoting mathematical research.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda93a2388190b55a1c821ef6bc64 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbbe621881909e153290394798d6 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:55 p.m.