Triple
T17499698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS X-Ray |
E426157
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | AWS Elastic Beanstalk |
—
|
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 Elastic Beanstalk | Statement: [AWS X-Ray, integratesWith, AWS Elastic Beanstalk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS Elastic Beanstalk Context triple: [AWS X-Ray, integratesWith, AWS Elastic Beanstalk]
-
A.
AWS Elastic Beanstalk
chosen
AWS Elastic Beanstalk is a fully managed service for deploying and scaling web applications and services by automatically handling infrastructure provisioning, load balancing, scaling, and monitoring.
-
B.
AWS Elastic Load Balancing
AWS Elastic Load Balancing is a cloud service that automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses, to improve availability and scalability.
-
C.
Amazon EC2
Amazon EC2 is a scalable cloud computing service that provides virtual servers (instances) for running applications on Amazon Web Services infrastructure.
-
D.
Amazon ECS
Amazon ECS is a fully managed container orchestration service that lets users run, scale, and secure Docker containers on AWS infrastructure.
-
E.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
- 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.