Triple

T22814466
Position Surface form Disambiguated ID Type / Status
Subject Windows 10 Mobile E565063 entity
Predicate includesFeature P182 FINISHED
Object Office Mobile NE NERFINISHED

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 Mobile | Statement: [Windows 10 Mobile, includesFeature, Office Mobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Office Mobile
Context triple: [Windows 10 Mobile, includesFeature, Office Mobile]
  • A. Office Mobile chosen
    Office Mobile is a mobile-optimized version of Microsoft Office that lets users view, edit, and create Office documents on smartphones and other portable devices.
  • B. Office
    Office is Microsoft’s flagship suite of productivity applications, including programs like Word, Excel, and PowerPoint, widely used for document creation, data analysis, and communication in both business and personal settings.
  • C. Mobile
    Mobile is a historic port city on Alabama’s Gulf Coast known for its shipbuilding, cultural heritage, and hosting one of the oldest Mardi Gras celebrations in the United States.
  • D. Mobile
    Mobile is a small coastal community in Newfoundland and Labrador, Canada, located on the Avalon Peninsula south of St. John’s.
  • E. Microsoft Mobile
    Microsoft Mobile was the Microsoft-owned division responsible for designing, manufacturing, and marketing Lumia smartphones and other mobile devices following the acquisition of Nokia’s handset business.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d62b0ec8190ac22909192e8a876 completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:33 p.m.