Triple
T29738289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CA ACF2 |
E752529
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | mainframe security software |
C24918
|
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: mainframe security software Context triple: [CA ACF2, instanceOf, mainframe security software]
-
A.
mainframe security product
chosen
A mainframe security product is a software solution that protects mainframe systems by controlling access, monitoring activity, enforcing compliance policies, and safeguarding critical data and applications from internal and external threats.
-
B.
mainframe operating system
A mainframe operating system is a highly reliable, secure, and scalable software platform designed to manage and coordinate the intensive processing, massive I/O, and concurrent workloads of large enterprise mainframe computers.
-
C.
software security technology
Software security technology encompasses the tools, techniques, and practices designed to protect software systems from vulnerabilities, attacks, and unauthorized access throughout their lifecycle.
-
D.
security software initiative
A security software initiative is a coordinated effort to design, develop, and deploy tools and processes that protect digital systems, data, and users from threats and vulnerabilities.
-
E.
IBM mainframe networking technology
IBM mainframe networking technology encompasses the hardware, software, and protocols (such as SNA and VTAM) that enable secure, high-volume, and reliable communication between IBM mainframes and distributed 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_69f0d62b064081908c1ae61cd68fb139 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 28, 2026, 7:46 p.m.