Triple
T18800827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS CDK |
E459748
|
entity |
| Predicate | supportsService |
P203
|
FINISHED |
| Object | AWS IoT Analytics |
—
|
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 IoT Analytics | Statement: [AWS CDK, supportsService, AWS IoT Analytics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS IoT Analytics Context triple: [AWS CDK, supportsService, AWS IoT Analytics]
-
A.
AWS IoT Analytics
chosen
AWS IoT Analytics is a fully managed AWS service that collects, processes, enriches, and analyzes large volumes of IoT device data at scale.
-
B.
AWS IoT Core
AWS IoT Core is a managed cloud service that securely connects and manages Internet of Things devices at scale, enabling them to interact with cloud applications and other devices.
-
C.
AWS IoT Events
AWS IoT Events is a fully managed AWS service that detects and responds to changes and complex event patterns from IoT sensors and applications at scale.
-
D.
AWS IoT SiteWise
AWS IoT SiteWise is a managed AWS service that collects, organizes, and analyzes data from industrial equipment at scale to help monitor operations and optimize industrial processes.
-
E.
AWS IoT TwinMaker
AWS IoT TwinMaker is an AWS service that helps build digital twins of real-world systems by integrating data from IoT devices, enterprise applications, and 3D models to create interactive, virtual representations of physical environments.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02332d88190b68feea7f2f86d06 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.