Triple
T19749902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PolarDB |
E474348
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | cloud-native relational database service |
C5499
|
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-native relational database service Context triple: [PolarDB, instanceOf, cloud-native relational database service]
-
A.
managed database service
chosen
A managed database service is a cloud-based offering where the provider handles database setup, maintenance, scaling, backups, and security, allowing users to focus on using the data rather than managing the infrastructure.
-
B.
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.
-
C.
cloud native project
A cloud native project is an application or system designed, built, and operated to fully leverage cloud computing models—such as containerization, microservices, dynamic orchestration, and managed services—for scalability, resilience, and rapid delivery.
-
D.
cloud-native application
A cloud-native application is a software system designed and built specifically to run in cloud environments, leveraging microservices, containers, dynamic orchestration, and continuous delivery to achieve scalability, resilience, and rapid iteration.
-
E.
RDBMS
An RDBMS (Relational Database Management System) is software that stores, organizes, and manages data in structured tables with defined relationships, enabling efficient querying, updating, and administration using SQL.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
Created at: April 10, 2026, 1:47 p.m.