Triple
T17499336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presto |
E426151
|
entity |
| Predicate | canQuery |
P9928
|
FINISHED |
| Object | Amazon S3 |
—
|
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 S3 | Statement: [Presto, canQuery, Amazon S3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon S3 Context triple: [Presto, canQuery, Amazon S3]
-
A.
Amazon S3
chosen
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.
-
B.
Google Cloud Storage
Google Cloud Storage is a scalable, durable, and secure object storage service for storing and accessing data on Google Cloud infrastructure.
-
C.
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.
-
D.
Amazon Cloud Drive
Amazon Cloud Drive was a cloud storage service from Amazon that allowed users to store, sync, and access files such as photos, videos, and documents across devices via the web and dedicated apps.
-
E.
Amazon EFS
Amazon EFS is a fully managed, scalable, cloud-native file storage service that provides shared, elastic file systems for use with AWS compute resources.
- 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_69e4521028048190aa7c4023a72a12f4 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.