Triple

T38677898
Position Surface form Disambiguated ID Type / Status
Subject Laser Vision E943807 entity
Predicate audioQualityComparedToVHS P191518 FINISHED
Object higher 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: higher | Statement: [Laser Vision, audioQualityComparedToVHS, higher]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: audioQualityComparedToVHS
Context triple: [Laser Vision, audioQualityComparedToVHS, higher]
  • A. supportsAudioQuality
    Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
  • B. recordQuality
    Indicates the assessed level or standard of quality associated with a particular record.
  • C. videoQuality
    Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
  • D. storageQuality
    Indicates the degree or standard of how well something is stored, such as its preservation, safety, or suitability for use.
  • E. audioStandard
    Indicates the audio format or specification standard that applies to the associated media or device.
  • F. None of above. chosen

Provenance (4 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_69f76eec28708190b9c82a505fc278e0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcdfbc71c481908ba7f87907b17782 completed May 7, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69fcdbe580b8819087f143596b2c79c0 completed May 7, 2026, 6:37 p.m.
PDg Predicate description generation batch_69fcdfbafbf48190abe38ec0003a6419 completed May 7, 2026, 6:53 p.m.
Created at: May 3, 2026, 4:33 p.m.