Triple
T17500065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS SDKs |
E426162
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | AWS SDK for C++ |
—
|
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 SDK for C++ | Statement: [AWS SDKs, includes, AWS SDK for C++]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS SDK for C++ Context triple: [AWS SDKs, includes, AWS SDK for C++]
-
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.
AWS CLI
AWS CLI is a unified command-line tool that allows users to manage and automate AWS services and resources through scripted commands.
-
C.
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.
-
D.
Aws
Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
-
E.
AWS Developer Tools
AWS Developer Tools is a suite of services from Amazon Web Services that helps developers build, test, and deploy applications and infrastructure in the cloud with continuous integration and delivery capabilities.
- 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_69e452112ff0819089c2951baba90102 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.