Triple
T12322939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon API Gateway |
E293766
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | AWS Step Functions |
E293767
|
NE FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: AWS Step Functions | Statement: [Amazon API Gateway, integratesWith, AWS Step Functions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS Step Functions Context triple: [Amazon API Gateway, integratesWith, AWS Step Functions]
-
A.
AWS Step Functions
chosen
AWS Step Functions is a serverless workflow orchestration service that lets developers coordinate multiple AWS services into scalable, fault-tolerant, event-driven applications using visual workflows.
-
B.
AWS Lambda
AWS Lambda is a serverless compute service that lets developers run code in response to events without provisioning or managing servers.
-
C.
Amazon EventBridge
Amazon EventBridge is a serverless event bus service from AWS that enables applications to connect using events from AWS services, integrated SaaS applications, and custom sources for event-driven architectures.
-
D.
AWS CodePipeline
AWS CodePipeline is a fully managed continuous integration and continuous delivery (CI/CD) service that automates the build, test, and deployment phases of application release workflows.
-
E.
Amazon Kinesis
Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
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. |
| NER | Named-entity recognition | batch_69d93f4d7dac81909ff10e64e229ef33 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e9e909081909b341398e7aae954 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.