Triple
T37657456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Disk Encryption |
E937637
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | disk encryption technology |
C8833
|
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: disk encryption technology Context triple: [Azure Disk Encryption, instanceOf, disk encryption technology]
-
A.
disk encryption software
chosen
Disk encryption software is a security tool that automatically encrypts and decrypts data stored on a disk or partition, protecting its contents from unauthorized access even if the physical device is lost or stolen.
-
B.
encryption software
Encryption software is a type of application that transforms readable data into an unreadable format using cryptographic algorithms to protect its confidentiality, integrity, and, in some cases, authenticity.
-
C.
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.
-
D.
U.S. government encryption standard
A U.S. government encryption standard is an officially approved cryptographic algorithm or protocol, such as AES, mandated or recommended by federal authorities to protect sensitive government and public-sector information.
-
E.
computer storage technology
Computer storage technology encompasses the hardware and methods used to record, retain, and retrieve digital data, ranging from volatile memory to long-term, high-capacity storage devices.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.