Triple
T3691186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar learning platform |
E78346
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | educational software platform |
C20
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: educational software platform Context triple: [Sugar learning platform, instanceOf, educational software platform]
-
A.
educational electronics platform
An educational electronics platform is an integrated hardware and software environment that enables learners to design, build, and experiment with electronic circuits and systems through guided, hands-on activities.
-
B.
online learning platform
chosen
An online learning platform is a digital environment that delivers educational content, tools, and interactions to learners over the internet, enabling flexible, self-paced, or instructor-led study.
-
C.
educational technology organization
An educational technology organization is an entity that designs, develops, and implements digital tools, platforms, and services to enhance teaching, learning, and educational outcomes.
-
D.
educational simulation program
An educational simulation program is an interactive software application that models real-world systems or scenarios to help learners explore concepts, practice skills, and understand complex processes through experiential learning.
-
E.
open educational resources platform
An open educational resources platform is a digital system that enables the creation, curation, adaptation, and free distribution of openly licensed educational materials for teaching and learning.
- F. None of above.
Provenance (1 batch)
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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
Created at: March 8, 2026, 3:26 p.m.