Triple
T27588013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monasca |
E699731
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cloud monitoring system |
C41750
|
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: cloud monitoring system Context triple: [Monasca, instanceOf, cloud monitoring system]
-
A.
cloud-native observability service
chosen
A cloud-native observability service is a scalable, distributed platform that collects, correlates, and analyzes metrics, logs, and traces from cloud-native applications and infrastructure to provide real-time visibility, alerting, and insights into system health and performance.
-
B.
cloud infrastructure management platform
A cloud infrastructure management platform is a centralized system that automates, orchestrates, monitors, and optimizes the provisioning, configuration, scaling, and governance of cloud resources across multiple environments and providers.
-
C.
cloud service
A cloud service is an on-demand, internet-delivered computing resource—such as storage, processing power, or applications—managed by a provider and accessed remotely by users.
-
D.
centralized monitoring center
A centralized monitoring center is a dedicated facility that aggregates, analyzes, and manages real-time data and alerts from distributed systems or locations to enable coordinated oversight and rapid response.
-
E.
monitoring data centre
A monitoring data centre is a centralized facility that continuously collects, analyzes, and visualizes infrastructure and application metrics to ensure performance, availability, and security across IT environments.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
Created at: April 27, 2026, 2:05 p.m.