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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:

  1. Concise Answer: Begin with a direct, factual response to the section’s ​central‍ question.
  2. Detailed Explanation: Provide supporting context,⁤ background information, or elaboration.
  3. 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:

,

,

,⁢