Triple

T11657894
Position Surface form Disambiguated ID Type / Status
Subject Nokia X3-02 E277054 entity
Predicate supportsVideoPlayer P86386 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: [Nokia X3-02, supportsVideoPlayer, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsVideoPlayer
Context triple: [Nokia X3-02, supportsVideoPlayer, yes]
  • A. supportsVideoPlayback chosen
    Indicates that an entity is capable of playing or rendering video content.
  • B. supportsPlayer
    Indicates that one entity provides assistance, resources, or backing to a player in achieving their goals or performing actions.
  • C. supportsVerticalVideo
    Indicates that one entity provides compatibility with or proper handling of vertical (portrait-oriented) video content for another entity.
  • D. supportsHEVC
    Indicates that one entity provides compatibility with or the ability to handle HEVC (High Efficiency Video Coding) for another entity.
  • E. supportsVideoLengthRange
    Indicates that an entity is compatible with or allows videos whose durations fall within a specified minimum-to-maximum time range.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d0331481909682b2e504e4c9a0 completed April 10, 2026, 7:16 a.m.
PD Predicate disambiguation batch_69d85ddc780481909a3bc63832fe2bd2 completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.