Triple

T7980116
Position Surface form Disambiguated ID Type / Status
Subject PixelSense E185549 entity
Predicate usedIn P98 FINISHED
Object Surface Book 2 E41593 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: Surface Book 2 | Statement: [PixelSense, usedIn, Surface Book 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surface Book 2
Context triple: [PixelSense, usedIn, Surface Book 2]
  • A. Surface Book chosen
    Surface Book is a high-end 2-in-1 laptop from Microsoft featuring a detachable touchscreen display that can function as a tablet.
  • B. Surface Pro
    Surface Pro is Microsoft's line of 2-in-1 detachable tablet-laptop devices running Windows, known for combining touchscreen portability with full PC functionality.
  • C. Surface Studio
    Surface Studio is an all-in-one desktop computer by Microsoft known for its large, high-resolution touchscreen and flexible hinge designed for creative professionals.
  • D. Surface Laptop
    Surface Laptop is a premium line of thin, lightweight Windows ultrabooks designed and produced by Microsoft under its Surface brand.
  • E. Surface 3
    Surface 3 is a Microsoft Windows tablet-laptop hybrid in the Surface family, designed as a more affordable, fanless, and portable alternative to the Surface Pro line.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c261904819086910898071f3629 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5677968881908835169157244962 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:14 p.m.