Triple
T28608619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VSAM |
E724117
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | mainframe data access method |
C10368
|
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 data access method Context triple: [VSAM, instanceOf, mainframe data access method]
-
A.
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.
-
B.
data access mode
Data access mode is a conceptual class that defines how data can be read, written, or modified within a system, specifying the permitted operations and constraints on data usage.
-
C.
mainframe computer
A mainframe computer is a large, powerful, and highly reliable central computer system designed to process vast amounts of data and support numerous simultaneous users and critical applications, typically used by large organizations.
-
D.
data access API
chosen
A data access API is an interface that provides standardized methods for applications to create, read, update, and delete data from underlying storage systems while abstracting away implementation details.
-
E.
mainframe clustering architecture
A mainframe clustering architecture is a high-availability, scalable configuration in which multiple mainframe systems are interconnected and managed as a single logical resource pool to balance workloads, ensure fault tolerance, and optimize performance.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 28, 2026, 4:29 a.m.