generated from coulomb/repo-seed
33 lines
1.3 KiB
Markdown
33 lines
1.3 KiB
Markdown
# Extract Trading-Literature Relations
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Profile: {{ macros.profile }}
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Extract a small set of important relations from the source chunk. Return
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one Markdown relation artifact per relation. Each artifact uses sections
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`## Subject`, `## Predicate`, `## Object`, and `## Relation Type`. Add
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`## Evidence` whenever the chunk supplies a concrete supporting phrase.
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Use exactly one of these relation types per relation:
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- `cause_effect` — one entity drives a measurable market or operator
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outcome (e.g. a strategy causing a loss; a market event causing a
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policy change)
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- `lesson_evidence` — an `evidence_bearing_claim` is supported (or
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undercut) by a concrete trade, event, or quote in the source
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- `risk_mitigation` — a strategy, rule, or habit reduces a named risk
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- `actor_venue` — a trader operates in a market, institution, or pit
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- `strategy_outcome` — a named strategy is applied to a specific trade
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or campaign and produces a labelled outcome (win, loss, scratch)
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Subject and object values should match entity titles you would (or did)
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extract in the entities stage. Skip relations whose subject or object
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would be a one-off fictional flourish. Skip implicit moralising; prefer
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relations the chunk actually evidences.
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Source title: {{ input.title }}
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Source artifact: {{ input.artifact_id }}
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## Source
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{{ input.content }}
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