Triple
T32415594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Log Analytics workspace |
E828324
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | log data store |
C39309
|
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: log data store Context triple: [Log Analytics workspace, instanceOf, log data store]
-
A.
data storage system line
A data storage system line is an integrated configuration of hardware and software components designed to store, manage, and protect digital information across its lifecycle.
-
B.
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.
-
C.
log management platform
chosen
A log management platform is a centralized system that collects, stores, indexes, and analyzes log data from various sources to enable monitoring, troubleshooting, security auditing, and compliance reporting.
-
D.
cloud-native data store
A cloud-native data store is a scalable, distributed storage system designed to run natively in cloud environments, leveraging cloud infrastructure for elasticity, resilience, and managed operations.
-
E.
data storage brand
A data storage brand is a company or label that designs, manufactures, and markets products and services for storing digital information, such as hard drives, SSDs, memory cards, and cloud storage solutions.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:54 a.m.