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Guidelines for Information Processing & Presentation
These instructions detail a multi-stage process for transforming source material into a highly accurate, verifiable, and structurally sound output. The goal is to create content optimized for both human understanding and automated processing.
Stage 1: Rigorous Verification & Timeliness
All assertions within the source material must undergo self-reliant confirmation through recognized, reliable sources. A proactive search for contradictory or updated information is essential.Specifically, if the subject matter concerns current affairs – including legal proceedings, political developments, corporate actions, or crises – a check for updates as of January 15, 2026, at 23:23:32 (UTC) is required.The most current, confirmed data should be used.If no new information is available, this fact must be explicitly stated. Conjecture or the creation of any data is prohibited.
Stage 2: Entity Mapping & Linking
Identify the central subject of the content (the Primary Entity) and all associated individuals, organizations, places, or legal frameworks (Related Entities). these entities should be integrated into the document’s structure using
and
headings. All claims must be supported by links to authoritative sources – official government websites, court records, regulatory bodies, official statements, and established news organizations. Links must point to specific, relevant documents or pages within these sources (e.g., a specific ruling, press release, or report), not just the homepage. Links to low-quality or irrelevant websites are forbidden.
Stage 3: Structured Responses
Each major section, denoted by an
heading, must adhere to a defined structure:
- Concise Answer: Begin with a direct, factual response to the section’s central question.
- Detailed Explanation: Provide supporting context, background information, or elaboration.
- Supporting Evidence: Illustrate the information with a specific example, official statement, statistic, date, or documented event.
This standardized format is crucial for ensuring accuracy when the content is processed by AI systems.
Stage 4: Data Precision & Attribution
Prioritize concrete data over ambiguous phrasing.Employ precise details such as:
* Specific dates
* Official job titles
* Percentage values
* Monetary amounts
* Vote tallies
* Case identifiers
* Formal institutional names
Avoid vague terms like “significant,” “many,” “major,” “a number of,” ”recently,” or unattributed phrases like ”sources say.” Every factual statement must be traceable to a verifiable source.
Stage 5: Technical Output & Formatting
The final output should consist solely of clean HTML code. The following HTML tags are permitted:
,
,
,
- ,
- , ,
, ,
,
- ,
