Triple

T8814299
Position Surface form Disambiguated ID Type / Status
Subject original PlayStation VR (via adapter) E209739 entity
Predicate resolutionPerEye P5732 FINISHED
Object 960 x 1080 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: 960 x 1080 | Statement: [original PlayStation VR (via adapter), resolutionPerEye, 960 x 1080]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resolutionPerEye
Context triple: [original PlayStation VR (via adapter), resolutionPerEye, 960 x 1080]
  • A. displayResolution chosen
    Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
  • B. sensorResolution
    Indicates the level of detail or precision with which a sensor can measure or distinguish changes in the observed quantity or environment.
  • C. typicalResolution
    Indicates the usual or standard level of detail or clarity at which something (such as an image, display, or representation) is normally rendered or presented.
  • D. pixelScale
    Indicates the ratio or conversion factor between pixel units and real-world or coordinate-space units in a representation or image.
  • E. targetResolution
    Indicates the specific resolution or level of detail that an action, process, or system is intended to achieve or operate at.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff1a4448190b5559f440d264442 completed March 31, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69cc5c21e64c81908490e3b0875dc0d6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:45 p.m.