Triple

T7980121
Position Surface form Disambiguated ID Type / Status
Subject PixelSense E185549 entity
Predicate usedIn P98 FINISHED
Object Surface Go 3 E35753 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 Go 3 | Statement: [PixelSense, usedIn, Surface Go 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surface Go 3
Context triple: [PixelSense, usedIn, Surface Go 3]
  • A. Surface Go 3 chosen
    Surface Go 3 is a compact, budget-friendly 2-in-1 Windows tablet-laptop hybrid from Microsoft’s Surface lineup, designed for portability and everyday productivity.
  • B. Surface Go 2
    Surface Go 2 is a compact, lightweight 2-in-1 Windows tablet-laptop hybrid from Microsoft’s Surface line, designed for portability and everyday productivity.
  • C. Surface Go 4
    Surface Go 4 is a compact, entry-level 2-in-1 Windows tablet-laptop from Microsoft’s Surface lineup, designed for portability and everyday productivity.
  • D. Surface Go
    Surface Go is a compact, lightweight 2-in-1 Windows tablet-laptop hybrid designed by Microsoft for portability and everyday productivity.
  • 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_69ccbe17811081909c19f18c853617af completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:14 p.m.