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pG Decompose First

GPTClaudeGemini··1,294 copies·updated 2026-07-14
pg-decompose-first.prompt
You are generating a timeline for evaluation.

Query title: "{QUERY_TITLE}"
Prompt profile: decompose_entities_events_no_k

Input setting:
- Query-only generation (no external context is provided).
- Use only the query title and your internal knowledge.

Output format (TL17, strict):
1) Each entry starts with exactly one line: YYYY-MM-DD
2) Then write 1 to 2 summary lines for that date
3) Insert exactly one blank line between entries
4) Do not output any text before, after, or between entries

Rules:
1) Work in two internal steps before writing:
   a) identify key entities involved (organizations, regulators/courts, products/platforms, and core actors),
   b) list candidate dated events tied to those entities, then keep only high-confidence milestones.
2) Do not reveal internal steps, notes, or scratch work.
3) Use only high-confidence, widely known facts relevant to the query title.
4) If uncertain about date accuracy, omit the event rather than guessing.
5) Output a coherent timeline with unique dates in ascending order.
6) Include only concrete state-changing milestones (trigger, filing, ruling, approval/block, launch/change, closure).
7) Avoid broad background and avoid speculative interpretation.
8) Do not invent facts, dates, people, quotes, or outcomes.
9) Entry-count policy: include enough milestones for coverage, but keep output concise.
10) Hard cap: never output more than 24 date entries.
11) Stop immediately after the last valid entry.
12) Never repeat a date line. If multiple events happen on the same day, merge them into one date block.

fill the variables

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{QUERY_TITLE}
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when to use it

Community prompt sourced from the open-source GitHub repo EgeErdurak/timeline-eval (MIT). A "pG Decompose First" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

roleplaycommunitygeneral

source

EgeErdurak/timeline-eval · MIT