Triple

T1611870
Position Surface form Disambiguated ID Type / Status
Subject Power Apps E34630 entity
Predicate integratesWith P1075 FINISHED
Object SharePoint E7152 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: SharePoint | Statement: [Power Apps, integratesWith, SharePoint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SharePoint
Context triple: [Power Apps, integratesWith, SharePoint]
  • A. SharePoint chosen
    SharePoint is a Microsoft web-based collaboration and document management platform used for creating intranet sites, managing content, and enabling team collaboration within organizations.
  • B. CSOM
    CSOM is the Carroll School of Management, the business school of Boston College known for its undergraduate and graduate programs in business and management.
  • C. OneDrive
    OneDrive is Microsoft’s cloud storage and file synchronization service that lets users securely store, access, and share files across devices and online.
  • D. SharePoint Framework
    SharePoint Framework is a client-side development model and toolset for building custom, modern web parts and extensions that run in SharePoint Online and SharePoint on-premises.
  • E. Microsoft 365
    Microsoft 365 is a subscription-based suite of productivity and collaboration tools that combines Office applications with cloud services, security features, and device management.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098cd03081908c67f95fd54d2071 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58c6d7e88190b9fc0e34a007a2f5 completed March 8, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:28 p.m.