Triple

T264537
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Surface E5695 entity
Predicate hasModel P2390 FINISHED
Object Surface Book 3 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 3 | Statement: [Microsoft Surface, hasModel, Surface Book 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surface Book 3
Context triple: [Microsoft Surface, hasModel, Surface Book 3]
  • 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 Laptop
    Surface Laptop is a premium line of thin, lightweight Windows ultrabooks designed and produced by Microsoft under its Surface brand.
  • D. Surface Laptop Studio
    Surface Laptop Studio is a high-end Microsoft 2-in-1 laptop featuring a unique pull-forward hinged display designed for both traditional notebook use and creative, pen-enabled workflows.
  • E. Surface Go 3
    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.
  • 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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25d8f9bbc8190a13841e4de093a66 completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3d23d72308190b35d2e6d745d6ee6 completed March 1, 2026, 5:44 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.