Triple

T9301894
Position Surface form Disambiguated ID Type / Status
Subject easyOffice E223782 entity
Predicate hasBrandFamily P6092 FINISHED
Object easyStorage E223786 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: easyStorage | Statement: [easyOffice, hasBrandFamily, easyStorage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: easyStorage
Context triple: [easyOffice, hasBrandFamily, easyStorage]
  • A. easyStorage chosen
    easyStorage is a self-storage and related services brand within the easyGroup family of low-cost consumer businesses.
  • B. 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.
  • C. 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.
  • 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. Google Cloud Storage
    Google Cloud Storage is a scalable, durable, and secure object storage service for storing and accessing data on Google Cloud infrastructure.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d34c4c819095a213360747c3a6 completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b26ae3c881909e88f0253e73f0ea completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:36 p.m.