Triple

T34776622
Position Surface form Disambiguated ID Type / Status
Subject Samsung Galaxy Note9 E1002524 entity
Predicate dualSIMVariant P99162 FINISHED
Object yes LITERAL 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: yes | Statement: [Samsung Galaxy Note9, dualSIMVariant, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dualSIMVariant
Context triple: [Samsung Galaxy Note9, dualSIMVariant, yes]
  • A. supportsDualSIM chosen
    Indicates that one entity provides or enables the use of two SIM cards simultaneously or interchangeably in another entity.
  • B. supportsEsim
    Indicates that one entity provides compatibility with, or the ability to use, an embedded SIM (eSIM) for another entity.
  • C. hasSIMType
    Indicates that an entity uses or is associated with a specific type or category of SIM (Subscriber Identity Module).
  • D. mobileVariant
    Indicates that one entity is a mobile-specific version or adaptation of another entity.
  • E. hasCellularComponent
    Indicates that an entity possesses, includes, or is associated with a specific cellular component as part of its structure or organization.
  • F. None of above.

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_69f76db30a108190bb57ca95b873e5bb completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f782f4f10081908f97f6d0d2dbeec7 completed May 3, 2026, 5:16 p.m.
PD Predicate disambiguation batch_69f780ff71cc8190a67e71076fbad81a completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 3:59 p.m.