Triple

T13513860
Position Surface form Disambiguated ID Type / Status
Subject Oculus Touch E322707 entity
Predicate usedWith P4791 FINISHED
Object Oculus Quest E331896 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: Oculus Quest | Statement: [Oculus Touch, usedWith, Oculus Quest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oculus Quest
Context triple: [Oculus Touch, usedWith, Oculus Quest]
  • A. Oculus Quest chosen
    Oculus Quest is a standalone virtual reality headset known for its inside-out tracking, wireless operation, and consumer-friendly VR gaming experience.
  • 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 Go
    Oculus Go is a standalone virtual reality headset designed for untethered, mobile VR experiences without the need for a PC or smartphone.
  • D. Oculus Rift
    Oculus Rift is a virtual reality headset developed by Oculus VR that enables immersive 3D gaming and interactive experiences on PC.
  • E. The Oculus
    The Oculus is a World of Warcraft dungeon set in the floating Nexus of Coldarra, featuring extensive dragonriding mechanics and multi-level, open-air encounters.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75492676c81909602745e2b6436cb completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.