Triple
T4278432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Einstein AI |
E97095
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | artificial intelligence platform |
C5163
|
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: artificial intelligence platform Context triple: [Einstein AI, instanceOf, artificial intelligence platform]
-
A.
enterprise AI product
chosen
An enterprise AI product is a scalable, secure software solution that embeds artificial intelligence into business workflows to automate tasks, augment decision-making, and deliver measurable operational and strategic value across an organization.
-
B.
artificial intelligence
Artificial intelligence is a field of computer science focused on creating systems that can perform tasks that typically require human intelligence, such as learning, reasoning, perception, and decision-making.
-
C.
cloud computing platform
A cloud computing platform is an integrated environment that provides on-demand access to scalable computing resources, storage, and services over the internet, enabling users to deploy, manage, and run applications without managing underlying hardware.
-
D.
data integration platform
A data integration platform is a system that connects, transforms, and consolidates data from disparate sources into a unified, accessible, and consistent view for analysis and operational use.
-
E.
Internet of Things platform
An Internet of Things platform is an integrated software and hardware environment that connects, manages, and analyzes data from distributed IoT devices to enable monitoring, control, and automation of physical systems.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:07 p.m.