LLM Job #16200 - score_story_relevance
Conversation
You are a financial news analyst. Rate news stories based on their relevance to serious business and investment decision-making.
Rate this news story's relevance for investors and business professionals who manage investment portfolios and need to make informed decisions. This is ONE news story covered by MULTIPLE news sources. The titles below are from different outlets (Reuters, Bloomberg, CNBC, etc.) all reporting on the SAME business event. Rate the overall story's relevance. Article Titles: 1. Stock Market Today: Dow Rises Ahead Of Key Inflation Data; This AI Stock Plunges On Earnings (Live Coverage) 2. Stock Market Today: S&P 500 on Pace for New Record Close 3. Wall Street climbs back to its all-time high 4. Stocks: Facing a vast wave of incoming liquidity, the S&P 500 prepares to surf to a new record high Scoring Guidelines: - 9-10: Critical business news (earnings reports, Fed decisions, major M&A, sector-wide impact, regulatory changes) - 7-8: Important analysis (market trends, analyst insights, significant company developments, economic indicators) - 5-6: Relevant news (notable company announcements, industry developments, financial performance) - 3-4: Minor business news (routine updates, small moves, tangential business stories) - 1-2: Fluff/entertainment (celebrity CEO drama, viral marketing, cultural controversies, consumer complaints) High-value examples: - "Wall Street Sentiment on AI Companies Shifts as Earnings Disappoint" (9-10) - "Federal Reserve Minutes Reveal Concerns About Inflation Persistence" (9-10) - "Apple Supplier Cuts Production by 20% Amid Weak iPhone Demand" (8-9) - "Banking Sector Faces Regulatory Scrutiny After Failed Stress Tests" (8-9) Low-value examples: - "Starbucks Cup Design Sparks Outrage on Social Media" (1-2) - "CEO's Dog Makes Appearance at Company Event" (1-2) - "Company Changes Office Snack Selection" (1-2)
{
"explanation": "The four article titles all report on the same underlying event: the S\u0026P 500 approaching or reaching a new all-time high, driven by strong market momentum and expectations around liquidity. While the headlines reference market movement and investor sentiment, they lack critical business decision-making elements such as: \n\n- Specific earnings results with implications for sector or company valuation\n- Federal Reserve policy or economic data (e.g., inflation numbers) that directly impact investment strategy\n- Major M\u0026A, regulatory shifts, or structural industry changes\n- Forward-looking signals about market risk, asset allocation, or macroeconomic trends\n\nInstead, the headlines are largely descriptive of market behavior—'climbs back,' 'on pace for new record,' 'surfing to a new record'—which reflects general market euphoria but offers no actionable insight for portfolio managers. The mention of 'AI stock plunging' in the first headline is a minor aside and not central to the overall story. No data, analysis, or fundamental drivers are provided.\n\nThus, while the topic is market-related and relevant to investors, the content lacks depth, specificity, and decision-useful information. The story is more about market sentiment than substantive business developments.\n\nTherefore, this is not critical or important business news. It falls into the category of 'relevant news' due to the market's movement, but without analytical or strategic value for informed portfolio decisions.",
"score": 5
}Debug Information
▶ Structured Output Schema (JSON Schema)
{
"json_schema": {
"description": "Business relevance score for a news story",
"name": "story_relevance",
"schema": {
"additionalProperties": false,
"properties": {
"explanation": {
"description": "1-2 sentence explanation of the score",
"type": "string"
},
"score": {
"description": "Relevance score (1-10)",
"maximum": 10,
"minimum": 1,
"type": "integer"
}
},
"required": [
"score",
"explanation"
],
"type": "object"
},
"strict": true
},
"type": "json_schema"
}▶ Token Usage & Performance
{
"completion_tokens": 306,
"predicted_ms": 0,
"prompt_ms": 0,
"prompt_tokens": 455,
"total_tokens": 761
}▶ Context & Parameters (Full JSON)
{
"article_count": 4,
"explanation": "The four article titles all report on the same underlying event: the S\u0026P 500 approaching or reaching a new all-time high, driven by strong market momentum and expectations around liquidity. While the headlines reference market movement and investor sentiment, they lack critical business decision-making elements such as: \n\n- Specific earnings results with implications for sector or company valuation\n- Federal Reserve policy or economic data (e.g., inflation numbers) that directly impact investment strategy\n- Major M\u0026A, regulatory shifts, or structural industry changes\n- Forward-looking signals about market risk, asset allocation, or macroeconomic trends\n\nInstead, the headlines are largely descriptive of market behavior—'climbs back,' 'on pace for new record,' 'surfing to a new record'—which reflects general market euphoria but offers no actionable insight for portfolio managers. The mention of 'AI stock plunging' in the first headline is a minor aside and not central to the overall story. No data, analysis, or fundamental drivers are provided.\n\nThus, while the topic is market-related and relevant to investors, the content lacks depth, specificity, and decision-useful information. The story is more about market sentiment than substantive business developments.\n\nTherefore, this is not critical or important business news. It falls into the category of 'relevant news' due to the market's movement, but without analytical or strategic value for informed portfolio decisions.",
"finish_reason": "stop",
"google_story_id": 22746,
"max_tokens": 2000,
"relevance_score": 5,
"response_format": "json_schema",
"response_format_details": {
"json_schema": {
"description": "Business relevance score for a news story",
"name": "story_relevance",
"schema": {
"additionalProperties": false,
"properties": {
"explanation": {
"description": "1-2 sentence explanation of the score",
"type": "string"
},
"score": {
"description": "Relevance score (1-10)",
"maximum": 10,
"minimum": 1,
"type": "integer"
}
},
"required": [
"score",
"explanation"
],
"type": "object"
},
"strict": true
},
"type": "json_schema"
},
"temperature": 0
}