Triple
T18800679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWS DataSync |
E459747
|
entity |
| Predicate | supportsService |
P203
|
FINISHED |
| Object | Amazon EFS |
—
|
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: Amazon EFS | Statement: [AWS DataSync, supportsService, Amazon EFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon EFS Context triple: [AWS DataSync, supportsService, Amazon EFS]
-
A.
Amazon EFS
chosen
Amazon EFS is a fully managed, scalable, cloud-native file storage service that provides shared, elastic file systems for use with AWS compute resources.
-
B.
Amazon FSx
Amazon FSx is a fully managed file storage service from AWS that provides high-performance, scalable, and feature-rich file systems built on popular file system technologies.
-
C.
Amazon EBS
Amazon EBS is a scalable, high-performance block storage service used with Amazon EC2 instances for persistent data storage in the AWS cloud.
-
D.
Amazon S3
Amazon S3 is a scalable, highly durable cloud object storage service from Amazon Web Services used for storing and retrieving large amounts of data over the internet.
-
E.
Amazon S3 Glacier
Amazon S3 Glacier is a low-cost, highly durable cloud storage service from AWS designed for long-term data archiving and infrequent access.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02332d88190b68feea7f2f86d06 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.