Triple

T12324368
Position Surface form Disambiguated ID Type / Status
Subject Amazon EFS E293789 entity
Predicate hasStorageClass P79848 FINISHED
Object EFS One Zone
EFS One Zone is an Amazon Elastic File System storage class that stores data redundantly within a single Availability Zone at a lower cost than regional EFS options.
 E293789 NE FINISHED

How this triple was built (4 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: EFS One Zone | Statement: [Amazon EFS, hasStorageClass, EFS One Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EFS One Zone
Context triple: [Amazon EFS, hasStorageClass, EFS One Zone]
  • A. EFS
    EFS is a Windows feature that provides built-in file-level encryption to protect data stored on NTFS volumes.
  • B. 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.
  • C. 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.
  • D. EBS
    EBS is a Dutch public transport company that operates bus services in and around Amsterdam and other regions in the Netherlands.
  • E. EBS
    EBS is a German vehicle registration code assigned to the Bayreuth district in the state of Bavaria.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EFS One Zone
Triple: [Amazon EFS, hasStorageClass, EFS One Zone]
Generated description
EFS One Zone is an Amazon Elastic File System storage class that stores data redundantly within a single Availability Zone at a lower cost than regional EFS options.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EFS One Zone
Target entity description: EFS One Zone is an Amazon Elastic File System storage class that stores data redundantly within a single Availability Zone at a lower cost than regional EFS options.
  • A. EFS
    EFS is a Windows feature that provides built-in file-level encryption to protect data stored on NTFS volumes.
  • B. 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.
  • C. 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.
  • D. EBS
    EBS is a Dutch public transport company that operates bus services in and around Amsterdam and other regions in the Netherlands.
  • E. EBS
    EBS is a German vehicle registration code assigned to the Bayreuth district in the state of Bavaria.
  • F. None of above.

Provenance (5 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_69f61e8d27288190bdf32acd600141db completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f9493d081909a543bcafeb508d1 completed May 2, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69f620ad9ec0819099909142fbad6412 completed May 2, 2026, 4:05 p.m.
Created at: April 8, 2026, 9:53 p.m.