Triple
T12323149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon SQS |
E293769
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | managed message queuing service |
C31295
|
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: managed message queuing service Context triple: [Amazon SQS, instanceOf, managed message queuing service]
-
A.
managed database service
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.
messaging framework
A messaging framework is a structured system that defines how messages are formatted, transmitted, routed, and processed between distributed components or applications.
-
C.
instant messaging service
An instant messaging service is a platform that enables users to exchange real-time text, multimedia, and other data over the internet, often supporting presence indicators, group chats, and cross-device synchronization.
-
D.
managed data ingestion service
A managed data ingestion service is a fully hosted platform that reliably collects, transforms, and routes data from diverse sources into target systems at scale, handling infrastructure, scaling, and monitoring automatically.
-
E.
messaging standard
A messaging standard is a defined set of rules and formats that enables different systems or applications to exchange messages in a consistent, interoperable, and reliable way.
- F. None of above. chosen
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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:53 p.m.