Triple
T4280023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Kinesis Data Firehose |
E97124
|
entity |
| Predicate | supportsSource |
P24486
|
FINISHED |
| Object | Amazon Kinesis Data Streams |
E293770
|
NE FINISHED |
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: Amazon Kinesis Data Streams | Statement: [Amazon Kinesis Data Firehose, supportsSource, Amazon Kinesis Data Streams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon Kinesis Data Streams Context triple: [Amazon Kinesis Data Firehose, supportsSource, Amazon Kinesis Data Streams]
-
A.
Amazon Kinesis
chosen
Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
-
B.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is a fully managed AWS service for reliably capturing, transforming, and loading real-time streaming data into data lakes, warehouses, and analytics services.
-
C.
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.
-
D.
DynamoDB Streams
DynamoDB Streams is a change data capture feature of Amazon DynamoDB that records item-level modifications in near real time for use cases like event-driven processing, replication, and auditing.
-
E.
Amazon EventBridge
Amazon EventBridge is a serverless event bus service from AWS that enables applications to connect using events from AWS services, integrated SaaS applications, and custom sources for event-driven architectures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db83dd308190a8d1824157d011ce |
completed | March 14, 2026, 10:04 p.m. |
Created at: March 12, 2026, 11:07 p.m.