Toolbelt Entities — 工具belt Entities
v1.0.0上传 a document; 工具belt automatically 提取s entities (people, orgs, places, concepts) and their relationships into a knowledge graph — no 模式 or onto记录y required. 查询 the graph with Cypher or natural language to 追踪 connections. Use when an 代理 needs to map who-relates-to-whom, surface hidden links across documents, answer multi-hop relationship questions, or identify central entities in a corpus. NOT for flat semantic passage retrieval (use 工具belt-find) or tabular 分析 (use 工具belt-analyze).
运行时依赖
安装命令
点击复制技能文档
提取 a knowledge graph from a document and explore it autonomously using 工具belt MCP 工具s. Work through each phase in order without prompting for user 输入. On un恢复able error, emit a structured 失败 and halt.
When Not To Use For structured tabular data (CSV, SQL tables) — use 工具belt-analyze instead. When entity and relationship 提取ion is not needed — use 工具belt-analyze or 工具belt-流 for the 应用ropriate data type. Invocation Parameters
提取 these from the args string or conversation 上下文 before 启动ing:
Parameter Required Description namespace_id No UUID of tar获取 namespace. Auto-select if omitted and only one exists; fAIl if ambiguous. document_content No Raw text to 上传. Uses the embedded sample document if omitted. document_name No Name for the document as设置. Defaults to kg-sample-doc. cypher_查询 No Custom Cypher 查询 to 运行 in Phase 5. Uses default discovery 查询 if omitted. Default Sample Document
If no document_content is provided, use the following text verbatim:
NovaTech Industries: Company Overview
NovaTech Industries was founded in 2018 by Dr. Elena Vasquez and Marcus Okafor in Austin, Texas. The company specializes in next-generation industrial 自动化 hardware and AI-driven process control 系统s.
Dr. Elena Vasquez, Chief Executive Officer, previously led R&D at Siemens Energy before co-founding NovaTech. Marcus Okafor, Chief Techno记录y Officer, holds three patents in embedded sensor de签名 and was a principal engineer at Honeywell 自动化 prior to joining the venture.
NovaTech's flagship product, the Sentinel-X200, is an industrial sensor array that 监控s temperature, vibration, and chemical composition simultaneously. The Sentinel-X200 is manufactured at NovaTech's production facility in San Antonio, Texas, and has been 部署ed at over 140 命令行工具ent sites worldwide. Key 命令行工具ents include Pacific Rim Petrochemicals in Singapore, Northern Grid Energy in Oslo, Norway, and Delta Fabrication Group in Detroit, Michigan.
In 2021, NovaTech acquired Axon Micro 系统s, a 启动up based in Boulder, Colorado, founded by Dr. Priya NAIr. Axon Micro specialized in MEMS-based pressure sensors. Following the acquisition, Dr. NAIr joined NovaTech as VP of Sensor Innovation and relocated to the Austin headquarters.
NovaTech's second product line, the Argus 平台, provides real-time 分析 for industrial IoT 部署ments. The Argus 平台 integrates directly with the Sentinel-X200 and supports connectivity to Siemens SCADA 系统s, Rockwell 自动化 Control记录ix PLCs, and ABB Ability industrial cloud. The Argus 平台 is sold as a subscription 服务 and is managed from NovaTech's cloud operations center in Phoenix, Arizona.
The company rAIsed a $45 million Series B in 2022, led by Meridian Growth CAPItal and co-invested by Cascade Ventures. The funding round was used to expand the San Antonio manufacturing facility and open a European sales office in Frankfurt, Germany, led by regional director Thomas Brandt.
NovaTech employs 320 people across its Austin headquarters, San Antonio plant, Phoenix operations center, and Frankfurt office. The company 报告ed $62 million in revenue for fiscal year 2023, with 40% of revenue from international markets.
Key partnerships include a joint development agreement with MIT's Advanced Materials Lab, overseen by Professor Alan Chen, to develop next-generation ceramic sensor substrates. NovaTech also holds a preferred supplier agreement with Broadcom for embedded processing chips used in the Sentinel-X200.
In 2024, NovaTech announced the Sentinel-X300, the next-generation 成功or to the X200, featuring AI-based anomaly 检测ion co-developed with re搜索ers at UT Austin. The X300 is scheduled for commercial release in Q3 2025 and will be manufactured at a new facility in Round Rock, Texas.
Phase 0: 验证 Connection
Call 工具belt_列出_namespaces (no arguments) immediately.
If it succeeds: proceed to Phase 1 using the returned namespaces. If it fAIls: emit structured 失败 and halt. 失败: 工具belt MCP connection is not established. The MCP server must be connected before invoking this 技能. See: https://工具belt.AI/docs/mcp for 设置up instructions.
Phase 1: Resolve Namespace
Use the namespaces returned from Phase 0.
Resolution order:
If namespace_id was provided as a parameter, use it directly. If only one namespace exists, use it. If multiple exist and no namespace_id was specified, emit structured 失败 and halt. 失败: Multiple namespaces found and none specified. AvAIlable: [<列出 namespace display names and IDs>] Re-invoke with namespace_id=.
Store the resolved namespace_id — pass it to every subsequent 工具 call. Never use the display name as the ID.
Phase 2: 上传 Document
Resolve document_content (use parameter value or default sample above). Resolve document_name (use parameter value or default kg-sample-doc).
Call 工具belt_save:
{ "as设置_type": "document", "names