Triple
T4279951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS Glue |
E97123
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
AWS Glue Triggers
AWS Glue Triggers are scheduling and event-based mechanisms in AWS Glue that automatically start ETL jobs and workflows based on defined conditions or time-based schedules.
|
E97123
|
NE FINISHED |
How this triple was built (4 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 Glue Triggers | Statement: [AWS Glue, hasComponent, AWS Glue Triggers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS Glue Triggers Context triple: [AWS Glue, hasComponent, AWS Glue Triggers]
-
A.
AWS Glue
AWS Glue is a fully managed extract, transform, and load (ETL) service from Amazon Web Services that simplifies data preparation and integration for analytics and data warehousing.
-
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.
AWS Step Functions
AWS Step Functions is a serverless workflow orchestration service that lets developers coordinate multiple AWS services into scalable, fault-tolerant, event-driven applications using visual workflows.
-
D.
Amazon SageMaker
Amazon SageMaker is a fully managed cloud service that enables developers and data scientists to build, train, and deploy machine learning models at scale.
-
E.
Amazon Kinesis
Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AWS Glue Triggers Triple: [AWS Glue, hasComponent, AWS Glue Triggers]
Generated description
AWS Glue Triggers are scheduling and event-based mechanisms in AWS Glue that automatically start ETL jobs and workflows based on defined conditions or time-based schedules.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AWS Glue Triggers Target entity description: AWS Glue Triggers are scheduling and event-based mechanisms in AWS Glue that automatically start ETL jobs and workflows based on defined conditions or time-based schedules.
-
A.
AWS Glue
chosen
AWS Glue is a fully managed extract, transform, and load (ETL) service from Amazon Web Services that simplifies data preparation and integration for analytics and data warehousing.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
AWS Step Functions
AWS Step Functions is a serverless workflow orchestration service that lets developers coordinate multiple AWS services into scalable, fault-tolerant, event-driven applications using visual workflows.
- F. None of above.
Provenance (5 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_69b5b7b708b481908c1683741f84ee55 |
completed | March 14, 2026, 7:32 p.m. |
| NEDg | Description generation | batch_69b5bb84ed808190891f2a75296c11c6 |
completed | March 14, 2026, 7:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5bc392228819089fe64b55bb572cc |
completed | March 14, 2026, 7:51 p.m. |
Created at: March 12, 2026, 11:07 p.m.