Triple
T38065217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learning Garden |
E950452
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | technology-enhanced learning environment |
C24912
|
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: technology-enhanced learning environment Context triple: [Learning Garden, instanceOf, technology-enhanced learning environment]
-
A.
educational technology domain
The educational technology domain encompasses the theories, tools, systems, and practices that use digital and technological innovations to design, deliver, support, and enhance teaching, learning, and educational administration.
-
B.
education technology product
chosen
An education technology product is a digital tool or platform designed to enhance teaching, learning, and educational administration through technology-driven content, interaction, and data.
-
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.
virtual reality education platform
A virtual reality education platform is an immersive digital environment that uses VR technology to deliver interactive, experiential learning experiences across various subjects and skill levels.
-
E.
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.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.