Triple
T4600446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon S3 |
E100305
|
entity |
| Predicate | supportsInterface |
P203
|
FINISHED |
| Object | AWS CloudFormation |
E293757
|
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: AWS CloudFormation | Statement: [Amazon S3, supportsInterface, AWS CloudFormation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS CloudFormation Context triple: [Amazon S3, supportsInterface, AWS CloudFormation]
-
A.
AWS CloudFormation
chosen
AWS CloudFormation is an infrastructure-as-code service that lets users model, provision, and manage AWS and third-party resources using declarative templates.
-
B.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
-
C.
AWS Config
AWS Config is a cloud service that continuously assesses, audits, and records the configurations of AWS resources to help with compliance, security, and operational troubleshooting.
-
D.
Aws
Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
-
E.
AWS Auto Scaling
AWS Auto Scaling is an Amazon Web Services feature that automatically adjusts the number of compute resources in response to changing application demand to maintain performance and optimize costs.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5971f448819090f6e76c7d3ffc2d |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa5a7aac8190b540b80816d55051 |
completed | March 21, 2026, 1:54 a.m. |
Created at: March 20, 2026, 1:11 p.m.