Triple

T11352216
Position Surface form Disambiguated ID Type / Status
Subject Level 3.1 E268863 entity
Predicate hasMaxVideoResolutionExample P68881 FINISHED
Object 1280x720 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: 1280x720 at 30 fps | Statement: [Level 3.1, hasMaxVideoResolutionExample, 1280x720 at 30 fps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaxVideoResolutionExample
Context triple: [Level 3.1, hasMaxVideoResolutionExample, 1280x720 at 30 fps]
  • A. supportsDisplayResolution
    Indicates that one entity is capable of operating with, rendering, or otherwise accommodating the specified display resolution of another entity.
  • B. maximumResolution
    Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
  • C. propertyType_maxFramerate chosen
    Indicates the maximum frame rate value that the property can support or is configured to allow.
  • D. videoQuality
    Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
  • E. 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.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
PD Predicate disambiguation batch_69d7e6f8aeb4819080476f16a69b2ee3 completed April 9, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:33 p.m.