Triple

T2567979
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Mobile E57595 entity
Predicate product P490 FINISHED
Object Lumia smartphones E56745 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: Lumia smartphones | Statement: [Microsoft Mobile, product, Lumia smartphones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lumia smartphones
Context triple: [Microsoft Mobile, product, Lumia smartphones]
  • A. Nokia Lumia chosen
    Nokia Lumia is a series of Windows Phone-based smartphones developed by Nokia that were known for their colorful designs and strong camera capabilities.
  • B. Nokia smartphones
    Nokia smartphones are mobile devices known for their durable design, clean software experience, and historically advanced mobile camera capabilities.
  • C. Windows Phone
    Windows Phone is a discontinued mobile operating system developed by Microsoft for smartphones, featuring a distinctive tile-based user interface and integration with Microsoft services.
  • D. Nokia X
    Nokia X is a line of budget smartphones by Nokia that ran a customized version of Android with a Windows Phone–inspired interface.
  • E. Galaxy smartphones
    Galaxy smartphones are Samsung's flagship line of Android-based mobile phones known for their advanced displays, cameras, and wide range of models from budget to premium.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd36191848190b6255fa9029429bd completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90721edc8190a80decc7195f80de completed March 10, 2026, 3:30 a.m.
Created at: March 6, 2026, 9:48 p.m.