Triple
T27585940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM Data Virtualization solutions |
E699689
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data virtualization solution suite |
C39314
|
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: data virtualization solution suite Context triple: [IBM Data Virtualization solutions, instanceOf, data virtualization solution suite]
-
A.
data virtualization engine
chosen
A data virtualization engine is a software layer that provides unified, real-time access to data from multiple heterogeneous sources without requiring physical data movement or replication.
-
B.
virtualization platform
A virtualization platform is a software-based system that enables multiple virtual machines or environments to run concurrently on a single physical hardware infrastructure, sharing resources while remaining logically isolated.
-
C.
data visualization platform
A data visualization platform is a software system that enables users to transform raw data into interactive, graphical representations to explore insights, identify patterns, and communicate information effectively.
-
D.
virtualization company
A virtualization company provides software and platforms that abstract and simulate computing resources—such as servers, storage, networks, or desktops—to enable more efficient, flexible, and scalable IT infrastructure.
-
E.
virtualization component
A virtualization component is a software or hardware module that abstracts and manages underlying physical resources to create and run isolated virtual environments.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 2:04 p.m.