Triple

T3003087
Position Surface form Disambiguated ID Type / Status
Subject Pixel 6a E81834 entity
Predicate videoRecordingCapabilities P41984 FINISHED
Object 4K at 30 fps 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: 4K at 30 fps | Statement: [Pixel 6a, videoRecordingCapabilities, 4K at 30 fps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: videoRecordingCapabilities
Context triple: [Pixel 6a, videoRecordingCapabilities, 4K at 30 fps]
  • A. supportsDolbyVisionHDRRecording
    Indicates that the subject is capable of recording video content using the Dolby Vision high dynamic range (HDR) format.
  • B. supports4KVideoRecording chosen
    Indicates that the subject is capable of recording video at 4K (Ultra HD) resolution.
  • C. recordingMethod
    Indicates the technique or process used to capture or record something (such as data, audio, or video).
  • D. recordingType
    Indicates the specific kind or category of recording associated with an entity (e.g., audio, video, live, studio, etc.).
  • E. hasRecordingContract
    Indicates that an entity is formally bound by an agreement to produce recordings for another entity, typically a record label or similar 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1371c481909e214234afed1a65 completed March 8, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69ad96180eb08190a524c5f458d41382 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:59 p.m.