Triple

T264843
Position Surface form Disambiguated ID Type / Status
Subject OneDrive E5700 entity
Predicate integratedWith P2830 FINISHED
Object Office on the web E7151 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: Office on the web | Statement: [OneDrive, integratedWith, Office on the web]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Office on the web
Context triple: [OneDrive, integratedWith, Office on the web]
  • A. Home Office
    The Home Office is a major UK government department responsible for immigration, security, and law and order, including policing and counter-terrorism.
  • B. Microsoft 365 chosen
    Microsoft 365 is a subscription-based suite of productivity and collaboration tools that combines Office applications with cloud services, security features, and device management.
  • C. Google Workspace
    Google Workspace is a cloud-based suite of productivity and collaboration tools that includes Gmail, Docs, Drive, Calendar, Meet, and other integrated services for businesses and organizations.
  • D. EQ Office
    EQ Office is a U.S.-based commercial real estate company that owns and manages office properties, including prominent skyscrapers and urban office portfolios.
  • E. Web Index
    The Web Index is a composite index developed by the World Wide Web Foundation to measure and compare how countries around the world use and benefit from the web across dimensions like access, freedom, and impact.
  • 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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25d8f9bbc8190a13841e4de093a66 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389ae45648190966804664bf4f861 completed March 1, 2026, 12:34 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.