tegwick
574bb11db6
Demonstrates infospace composition: the Wealth of Nations infospace is used as a discipline, applying Smith's economic framework as a lens to analyse modern supply chain management concepts. New example: examples/supply-chain-vsm/ - infospace.yaml binding WoN as discipline (../infospace-with-history) - 3 source documents: coordination mechanisms, capital & inventory, market structure (~400 words each, original content) - supply-chain-entity-schema-v1.0.md with WoN Concept required section - won-mapping-schema-v1.0.md with Conceptual Continuity rating - artifacts/won-reference/core-entities.md — 12 curated WoN entities for injection as discipline context - 8 hand-crafted entity files demonstrating LLM output format - 3 mapping files with full rationale and VSM inheritance chains - Viable: YES (5/5 thresholds) Key mappings demonstrated: Demand Signal → Effectual Demand (Strong, S2) Vendor-Managed Inventory → Division of Labour (Strong, S1/S2) Just-in-Time Inventory → Circulating Capital (Strong, S1/S3) Bullwhip Effect → Natural Price (Moderate, S2) Platform Intermediary → Merchant Capital (Strong, S2/S4) Monopsony Power → Combination of Masters (Strong, S3*) Platform fix: entity_parser.py now recognises ## Supply Chain Domain as a domain alias for ## Economic Domain, enabling composed infospaces to use their own domain section name. Tutorial §13 rewritten with real commands, real output, and the full mapping table from the demo. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
63 lines
1.3 KiB
Markdown
63 lines
1.3 KiB
Markdown
# Extract Supply Chain Entities
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You are a supply chain analyst with expertise in both modern operations
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management and classical political economy. Your task is to extract
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distinct supply chain entities from a source document.
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## Source Document
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@{chapter_text}
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## Extraction Guidelines
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@{extraction_rules}
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## Wealth of Nations Reference Entities
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The following WoN entities are available as mapping targets. For each
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entity you extract, identify the most relevant WoN concept from this set.
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@{won_core_entities}
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## Existing Entities
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The following entities have already been extracted from previous sources.
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Do not re-extract concepts already captured — only extract genuinely new
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entities introduced by this source.
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@{existing_entities}
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## Output Format
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Output each entity using the following delimiter format:
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```
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--- ENTITY: Entity Name ---
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# Entity Name
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## Definition
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[20–150 word definition]
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## Source
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[Source document name, section if applicable]
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## Supply Chain Domain
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[Coordination | Capital Management | Market Structure | Risk | Logistics]
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## VSM Assignment
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[S1–S5] — [one-sentence rationale]
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## WoN Concept
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[WoN entity name] — [one-sentence explanation of the connection]
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---
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```
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Extract 4–8 entities. Prefer precision over volume.
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