Triple

T8414992
Position Surface form Disambiguated ID Type / Status
Subject Apple Neural Engine E198710 entity
Predicate usedIn P98 FINISHED
Object Vision Pro E41466 NE 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: Vision Pro | Statement: [Apple Neural Engine, usedIn, Vision Pro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vision Pro
Context triple: [Apple Neural Engine, usedIn, Vision Pro]
  • A. Vision Pro chosen
    Vision Pro is Apple’s high-end mixed reality headset that blends augmented and virtual reality experiences using advanced displays, sensors, and custom Apple silicon.
  • B. Oculus Quest 2
    The Oculus Quest 2 is a standalone virtual reality headset known for its wireless design, inside-out tracking, and strong content library, making it one of the most popular consumer VR devices.
  • C. Oculus Quest
    Oculus Quest is a standalone virtual reality headset known for its inside-out tracking, wireless operation, and consumer-friendly VR gaming experience.
  • D. Oculus Go
    Oculus Go is a standalone virtual reality headset designed for untethered, mobile VR experiences without the need for a PC or smartphone.
  • E. visionOS
    visionOS is Apple’s mixed-reality operating system designed for spatial computing on Apple Vision Pro, integrating 3D interfaces, gesture and eye tracking, and immersive app experiences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e443a08190983d9a0a61e0f781 completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce032a25ec819094c6346eb2a7f973 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:06 p.m.