Triple

T11794472
Position Surface form Disambiguated ID Type / Status
Subject HTC Vive E280469 entity
Predicate supportsSoftware P5090 FINISHED
Object SteamVR Home E639987 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: SteamVR Home | Statement: [HTC Vive, supportsSoftware, SteamVR Home]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SteamVR Home
Context triple: [HTC Vive, supportsSoftware, SteamVR Home]
  • A. SteamVR chosen
    SteamVR is Valve's virtual reality platform and software framework that enables VR gaming and experiences on PC through Steam.
  • B. Oculus Home interface
    The Oculus Home interface is a virtual reality home screen and hub environment where users can access apps, games, and settings on Oculus-powered headsets.
  • C. HTC Vive
    The HTC Vive is a high-end virtual reality headset system developed by HTC and Valve, known for its room-scale tracking and immersive VR gaming experiences.
  • D. Oculus app
    The Oculus app is a mobile companion application that manages VR headset setup, content browsing, and social features for Oculus virtual reality devices.
  • E. Playroom VR
    Playroom VR is a family-friendly virtual reality game collection for PlayStation VR that showcases social, party-style mini-games using the PlayStation Camera and motion controls.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130fd7b9881909e79ecb49fe98d30 completed April 28, 2026, 10:13 p.m.
Created at: April 8, 2026, 9:42 p.m.