Triple
T17499286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS IoT Analytics |
E426150
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | AWS CloudFormation |
—
|
NE NERFINISHED |
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 CloudFormation | Statement: [AWS IoT Analytics, integratesWith, AWS CloudFormation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS CloudFormation Context triple: [AWS IoT Analytics, integratesWith, AWS CloudFormation]
-
A.
AWS CloudFormation
chosen
AWS CloudFormation is an infrastructure-as-code service that lets users model, provision, and manage AWS and third-party resources using declarative templates.
-
B.
CloudFormation CLI
CloudFormation CLI is a command-line tool that helps developers create, test, and manage AWS CloudFormation resource providers and templates programmatically.
-
C.
AWS Elastic Beanstalk
AWS Elastic Beanstalk is a fully managed service for deploying and scaling web applications and services by automatically handling infrastructure provisioning, load balancing, scaling, and monitoring.
-
D.
AWS CDK
AWS CDK (AWS Cloud Development Kit) is an open-source software development framework that lets you define cloud infrastructure in familiar programming languages and synthesize it into AWS CloudFormation templates.
-
E.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4521028048190aa7c4023a72a12f4 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.