Triple

T9899487
Position Surface form Disambiguated ID Type / Status
Subject Azure Backup E182248 entity
Predicate supportsWorkload P15794 FINISHED
Object Azure Files E724237 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: Azure Files | Statement: [Azure Backup, supportsWorkload, Azure Files]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Azure Files
Context triple: [Azure Backup, supportsWorkload, Azure Files]
  • A. Azure Files chosen
    Azure Files is a Microsoft Azure service that provides fully managed, cloud-based file shares accessible via the SMB and NFS protocols for seamless integration with applications and on-premises environments.
  • B. Azure Blob Storage
    Azure Blob Storage is a cloud-based object storage service for storing and managing large amounts of unstructured data such as text and binary files.
  • C. VK Cloud
    VK Cloud is a Russian cloud computing platform offering infrastructure and related services for businesses and developers, operated by the technology company VK.
  • D. Filestore
    Filestore is a managed network file storage service on Google Cloud that provides scalable, high-performance file systems for applications running in the cloud.
  • E. 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.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4adc03481909e0f657db01e5bab completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb1b9534819093c5150f1ed8f685 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.