VR2-0190

① SA Source

Context Before

image

Source: Nvidia VR NVL72 BoM and Power Budget Model

Evidence

To understand the compute tray of VR NVL72 we must first understand the 6 modules that make up the VR NVL72 compute tray:

Context After

Strata Module x 2

② Atomic Claim

要理解 VR NVL72compute tray,需要先掌握構成該 VR NVL72 compute tray 的 6 個 modules。

  • Epistemic Mode: ASSERTED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "COMPUTE_PERFORMANCE",
  "context_nodes": [
    {
      "id": "04_knowledge_base/Compute Tray",
      "label": "compute tray"
    }
  ],
  "entity": {
    "id": "04_knowledge_base/VR NVL72",
    "label": "VR NVL72"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "6"
    ],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [
      "6"
    ],
    "value_text": "要理解 VR NVL72 的 compute tray,需要先掌握構成該 VR NVL72 compute tray 的 6 個 modules。"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entityVR NVL7204_knowledge_base/VR NVL72
context_0compute tray04_knowledge_base/Compute Tray

⑤ Human Review

請在 Properties 逐項確認:

  • 原文 → Atomic Claim 是否忠實
  • Atomic Claim → Semantic Frame 是否忠實
  • Canonical Entity mapping 是否正確
  • Epistemic mode 是否保留原文語氣
  • 最後選擇 review_action

Review state

Markdown 內文不是正式 approval。只有 Apply bridge 寫入的 Decision Ledger event 才是正式決策。