Triple
T27669176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VividCortex |
E697613
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | database performance monitoring platform |
C23242
|
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: database performance monitoring platform Context triple: [VividCortex, instanceOf, database performance monitoring platform]
-
A.
database administration tool
chosen
A database administration tool is software that enables users to configure, monitor, manage, and optimize databases through a user-friendly interface and automation features.
-
B.
data warehouse platform
A data warehouse platform is an integrated system that collects, stores, and organizes large volumes of structured data from multiple sources to support efficient querying, reporting, and analytics for business decision-making.
-
C.
cloud-native observability service
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.
-
D.
performance lake
A performance lake is a centralized repository that aggregates, stores, and organizes diverse performance-related data from multiple sources to enable comprehensive analysis, monitoring, and optimization.
-
E.
database service provider
A database service provider is an entity that offers infrastructure, tools, and managed services for storing, organizing, securing, and accessing data in databases for clients or applications.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 27, 2026, 2:40 p.m.