Triple
T35140821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TClientDataSet |
E1014697
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | in-memory dataset |
C53503
|
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: in-memory dataset Context triple: [TClientDataSet, instanceOf, in-memory dataset]
-
A.
in-memory database
An in-memory database is a data management system that stores all or most of its data directly in main memory rather than on disk to provide extremely fast data access and processing.
-
B.
in-memory storage engine
An in-memory storage engine is a data management component that stores and processes all data directly in main memory rather than on disk to achieve extremely low-latency access and high throughput.
-
C.
in-memory data buffer
chosen
An in-memory data buffer is a temporary storage area in RAM used to hold data while it is being transferred between processes, components, or devices to improve performance and manage data flow.
-
D.
in-memory analytics engine
An in-memory analytics engine is a software system that stores and processes data primarily in main memory to deliver extremely fast analytical queries and real-time insights.
-
E.
managed in-memory data store service
A managed in-memory data store service is a cloud-based solution that provides fast, scalable, and fully administered in-memory caching and data storage capabilities without requiring users to manage underlying infrastructure.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.