Deep Analysis Not Possible: 1,512-Word Report Cannot Be Generated Due to Empty Input
প্রশ্ন: কেন ১৫১২ শব্দের ক্রীড়া প্রতিবেদনটি তৈরি করা যায়নি? উত্তর: Stage-1-এর আউটপুটে `cricket_world` ডোমেইন লেবেল ছাড়া কোনো বাস্তব তথ্য ছিল না। তথ্যবিন্দু শূন্য হওয়ায় দাবি, প্রমাণ ও উদ্ধৃতির মধ্যে সম্পর্ক স্থাপন করা সম্ভব নয়; ফলে যেকোনো প্রতিবেদন সম্পূর্ণ কল্পিত হয়ে যেত। প্রয়োজন: শিরোনাম, উৎস, Articlesের ধরন, মূল দৃষ্টিভঙ্গি এবং কমপক্ষে তিনটি উদ্ধৃতিসহ তথ্যবিন্দু।
The provided input contains an empty Stage-1 output. Apart from the label Domain Label: cricket_world, no field carries real content: title, source, publisher, article type, author stance, purpose, information points, entities, time sensitivity and source quality are all missing or empty. Deep analysis depends on information points; without them, producing a 1,512-word original sports news report would mean fabricating the entire piece. That is why this report was not generated.

Likely causes of the empty input: the page body is JavaScript-rendered and the extractor only captured the skeleton DOM; the extractor hit the wrong DOM node (cookie banner, comments, related-reading rail); anti-scraping or a paywall returned a block page with HTTP 200; a multi-article aggregator page was processed as a single article; or the Stage-1 LLM call returned an empty structured result without raising an error because schema validation was missing. The first and last causes are the most common because neither produces an error.
Minimum input required to start Stage-2: title; source (publisher, URL, published time in ISO8601 or null); article type (one of news, analysis, opinion, preview, report, interview); core viewpoints (one-sentence summary, author stance, purpose); and at least three information points, each with an independently standing claim, a list of entities, a verbatim quote from the original text, source attribution (null if absent), and a time reference with its resolution.
The quote is mandatory because without it, original facts cannot be distinguished from Stage-1 paraphrase, and evidence-strength assessment would rest on second-hand information. With fewer than three information points, the mapping between argument and evidence cannot be established.
Next step: re-run Stage-1 and populate the structure above. If it keeps failing, send the first 500 characters of the raw scraped text — that will show whether the problem is in the extraction layer or the model layer. Alternatively, provide the original article text directly; Stage-1 can then be skipped and the analysis and report produced straight away.
