Triple
T4278887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oracle Data Guard |
E97104
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | data protection technology |
C11226
|
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 protection technology Context triple: [Oracle Data Guard, instanceOf, data protection technology]
-
A.
digital rights management technology
Digital rights management technology encompasses systems and tools designed to control access, usage, and distribution of digital content by enforcing licensing, copyright, and usage policies.
-
B.
hardware-based security technology
Hardware-based security technology refers to dedicated physical components and devices designed to protect systems and data by enforcing security functions at the hardware level, independent of or in conjunction with software controls.
-
C.
privacy engineering program
A privacy engineering program is an organized, cross-functional initiative that systematically embeds privacy requirements, risk management, and privacy-by-design practices into an organization’s products, services, and technical infrastructure.
-
D.
information governance tool
chosen
An information governance tool is a system that helps organizations define, enforce, and monitor policies for managing data throughout its lifecycle to ensure compliance, security, quality, and proper usage.
-
E.
data connectivity technology
Data connectivity technology encompasses the tools, protocols, and infrastructure that enable seamless, secure, and reliable exchange of data between systems, applications, and devices across diverse networks and 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
Created at: March 12, 2026, 11:07 p.m.