Triple

T12324445
Position Surface form Disambiguated ID Type / Status
Subject AWS Snowmobile E293791 entity
Predicate relatedTo P37 FINISHED
Object AWS Snowball Edge E293790 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 Snowball Edge | Statement: [AWS Snowmobile, relatedTo, AWS Snowball Edge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AWS Snowball Edge
Context triple: [AWS Snowmobile, relatedTo, AWS Snowball Edge]
  • A. AWS Snowball chosen
    AWS Snowball is a petabyte-scale data transport and edge computing device from Amazon Web Services designed to securely move large amounts of data into and out of the AWS cloud.
  • B. AWS Snowmobile
    AWS Snowmobile is a massive data transfer service that uses secure, truck-sized storage containers to physically move extremely large volumes of data into the AWS cloud.
  • C. AWS Outposts
    AWS Outposts is a fully managed service that extends native AWS infrastructure, services, and tools to on-premises locations for a consistent hybrid cloud experience.
  • D. Amazon Kinesis
    Amazon Kinesis is a fully managed AWS service for real-time collection, processing, and analysis of streaming data at scale.
  • E. AWS Storage Gateway
    AWS Storage Gateway is a hybrid cloud storage service that connects on-premises environments to AWS cloud storage for backup, archiving, and disaster recovery.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4e7e588190b37e2413bc649198 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346a3f34819091882004ab558347 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.