Triple
T17500070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS SDKs |
E426162
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | AWS SDK for browser-based JavaScript |
—
|
NE NERFINISHED |
How this triple was built (3 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 SDK for browser-based JavaScript | Statement: [AWS SDKs, includes, AWS SDK for browser-based JavaScript]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS SDK for browser-based JavaScript Context triple: [AWS SDKs, includes, AWS SDK for browser-based JavaScript]
-
A.
AWS SDKs
AWS SDKs are language-specific software development kits that enable developers to programmatically interact with and manage AWS services through familiar APIs.
-
B.
JavaScript SDK
The JavaScript SDK for Azure Data Lake Storage is a client library that enables developers to programmatically manage and interact with Data Lake Storage resources from JavaScript applications.
-
C.
AWS Amplify
AWS Amplify is a set of tools and services that helps developers build, deploy, and manage scalable full-stack web and mobile applications on the AWS cloud.
-
D.
Amazon Kinesis Client Library
Amazon Kinesis Client Library is a software library that simplifies building and scaling applications that process and consume streaming data from Amazon Kinesis data streams.
-
E.
Amazon Developer Program
The Amazon Developer Program is a platform that provides tools, documentation, and support for developers to build, test, and distribute apps and digital content through Amazon’s ecosystem, including the Amazon Appstore and Alexa.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AWS SDK for browser-based JavaScript Target entity description: AWS SDK for browser-based JavaScript is a client-side JavaScript library that enables web applications running in the browser to directly interact with and manage AWS services.
-
A.
AWS SDKs
chosen
AWS SDKs are language-specific software development kits that enable developers to programmatically interact with and manage AWS services through familiar APIs.
-
B.
JavaScript SDK
The JavaScript SDK for Azure Data Lake Storage is a client library that enables developers to programmatically manage and interact with Data Lake Storage resources from JavaScript applications.
-
C.
AWS Amplify
AWS Amplify is a set of tools and services that helps developers build, deploy, and manage scalable full-stack web and mobile applications on the AWS cloud.
-
D.
Amazon Kinesis Client Library
Amazon Kinesis Client Library is a software library that simplifies building and scaling applications that process and consume streaming data from Amazon Kinesis data streams.
-
E.
Amazon Developer Program
The Amazon Developer Program is a platform that provides tools, documentation, and support for developers to build, test, and distribute apps and digital content through Amazon’s ecosystem, including the Amazon Appstore and Alexa.
- F. None of above.
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_69e452112ff0819089c2951baba90102 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.