Triple

T9502534
Position Surface form Disambiguated ID Type / Status
Subject Sony α1 E229179 entity
Predicate viewfinderRefreshRate P17633 FINISHED
Object 240 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: 240 fps | Statement: [Sony α1, viewfinderRefreshRate, 240 fps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewfinderRefreshRate
Context triple: [Sony α1, viewfinderRefreshRate, 240 fps]
  • A. viewfinderType
    Indicates the type or kind of viewfinder associated with or used by an entity.
  • B. displayRefreshRate chosen
    Indicates the frequency at which a display updates its visual content, typically measured in hertz (Hz).
  • C. supportsVariableRefreshRate
    Indicates that one entity provides compatibility with or functionality for dynamically adjusting refresh rates in coordination with another entity.
  • D. sensorResolution
    Indicates the level of detail or precision with which a sensor can measure or distinguish changes in the observed quantity or environment.
  • E. frontCameraResolution
    Indicates the resolution quality or pixel count of a device’s front-facing (selfie) camera.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983ea6048190a2d7924c8e6d1fbc completed April 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69cca5651a588190a3cfebe249a223e5 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:57 p.m.