Triple
T17498942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Kinesis Data Analytics |
E426144
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | AWS analytics services |
—
|
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 analytics services | Statement: [Amazon Kinesis Data Analytics, partOf, AWS analytics services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS analytics services Context triple: [Amazon Kinesis Data Analytics, partOf, AWS analytics services]
-
A.
AWS IoT Analytics
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 data migration services
AWS data migration services are a suite of cloud-based tools and solutions from Amazon Web Services designed to securely and efficiently move large volumes of data from on-premises or other environments into AWS.
-
C.
Data & Analytic Services
Data & Analytic Services is a business segment of Aon Corporation that focuses on providing data-driven insights, analytics, and related solutions to support risk management and decision-making for clients.
-
D.
Amazon CloudWatch
Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
-
E.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics is a fully managed AWS service that enables real-time processing and analysis of streaming data using SQL or Apache Flink.
- 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 analytics services Target entity description: AWS analytics services are a suite of cloud-based tools from Amazon Web Services that enable organizations to collect, process, analyze, and visualize large volumes of data in real time and at scale.
-
A.
AWS IoT Analytics
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 data migration services
AWS data migration services are a suite of cloud-based tools and solutions from Amazon Web Services designed to securely and efficiently move large volumes of data from on-premises or other environments into AWS.
-
C.
Data & Analytic Services
Data & Analytic Services is a business segment of Aon Corporation that focuses on providing data-driven insights, analytics, and related solutions to support risk management and decision-making for clients.
-
D.
Amazon CloudWatch
Amazon CloudWatch is a monitoring and observability service that collects and analyzes logs, metrics, and events from AWS resources and applications to help track performance and operational health.
-
E.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics is a fully managed AWS service that enables real-time processing and analysis of streaming data using SQL or Apache Flink.
- F. None of above. chosen
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.