Triple
T4279666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vertex AI |
E97118
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | machine learning platform |
C5173
|
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: machine learning platform Context triple: [Vertex AI, instanceOf, machine learning platform]
-
A.
machine learning framework
A machine learning framework is a software library or platform that provides tools, abstractions, and workflows to design, train, evaluate, and deploy machine learning models efficiently.
-
B.
machine learning library
A machine learning library is a collection of tools, algorithms, and interfaces that simplifies building, training, evaluating, and deploying machine learning models.
-
C.
cloud computing platform
chosen
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.
deep learning framework
A deep learning framework is a software library or platform that provides tools, abstractions, and optimized components to design, train, and deploy neural network models efficiently.
-
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.