Triple

T2630392
Position Surface form Disambiguated ID Type / Status
Subject DBX E59617 entity
Predicate underlyingCompanyServices P35149 FINISHED
Object cloud-based file storage LITERAL 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: cloud-based file storage | Statement: [DBX, underlyingCompanyServices, cloud-based file storage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyServices
Context triple: [DBX, underlyingCompanyServices, cloud-based file storage]
  • A. underlyingCompanyService chosen
    Indicates that one entity functions as a foundational or supporting service for another company or business entity.
  • B. underlyingCompany
    Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
  • C. serviceOf
    Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
  • D. underlyingCompanyName
    Indicates the name of the company that serves as the foundational or primary entity underlying another entity, structure, or instrument.
  • E. serviceFor
    Indicates that one entity provides a service or performs functions on behalf of another entity.
  • F. None of above.

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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
PD Predicate disambiguation batch_69abd810d7f481908e81c305772c4c14 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.