Triple

T13513859
Position Surface form Disambiguated ID Type / Status
Subject Oculus Touch E322707 entity
Predicate usedWith P4791 FINISHED
Object Oculus Rift S E277068 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 Rift S | Statement: [Oculus Touch, usedWith, Oculus Rift S]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oculus Rift S
Context triple: [Oculus Touch, usedWith, Oculus Rift S]
  • A. Oculus Rift chosen
    Oculus Rift is a virtual reality headset developed by Oculus VR that enables immersive 3D gaming and interactive experiences on PC.
  • B. Oculus Quest
    Oculus Quest is a standalone virtual reality headset known for its inside-out tracking, wireless operation, and consumer-friendly VR gaming experience.
  • C. 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.
  • 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. 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.
  • 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_69fbc3138cc48190acb28a18ac9bb3eb completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 9:44 p.m.