Translate text while preserving facts, numbers, and proper nouns

Author: AILesson5 min setupTested with:ChatGPTReviewed: 2026-08-28

Quick answer

Produce a usable translation with a protected-term ledger and explicit uncertainty notes. Provide: Source text, Target language and locale, Protected terms and style rules. Expected result: A faithful translation with a fact and terminology audit.

1

Add your context

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2

Your prompt

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Translate the source into the specified target language and locale.

Source:
[source]

Target language and locale:
[language]

Protected terms, approved translations, units, formatting, and text that must remain unchanged:
[terms]

Preserve every factual claim, number, date, currency, unit, comparison, condition, degree of certainty, negation, actor, and proper noun. Follow approved terminology exactly. Do not localize a name, convert a unit or currency, expand an abbreviation, or repair a possible source error unless instructed. If a term or sentence has more than one plausible meaning, choose the least assumptive rendering and flag it. Return: translation; protected-term ledger showing source and rendered form; fact-and-number audit; ambiguities requiring confirmation; and any apparent source inconsistency left unchanged.
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From input to outcome

A worked example

See how concrete context turns this recipe into a usable result

Actual input

Source text
Northstar Beta opens to 1,250 invited users on 14 October 2026. The pilot may reduce average review time by up to 18%, based on an internal test of 42 cases. It does not include the Atlas Export module. Annual access is listed at USD 3,600 before tax.
Target language and locale
Simplified Chinese for a mainland China internal product memo
Protected terms and style rules
Keep Northstar Beta and Atlas Export in English. Keep USD rather than converting currency. Translate pilot as 试点. Preserve numerals and the phrase up to as a maximum, not a guaranteed result.

Example output

Translation: Northstar Beta 将于 2026 年 10 月 14 日向 1,250 名受邀用户开放。根据对 42 个案例的内部测试,该试点可能将平均审核时间最多缩短 18%。其中不包含 Atlas Export 模块。年度使用价格标为税前 USD 3,600。

Protected-term ledger: Northstar Beta → Northstar Beta; Atlas Export → Atlas Export; pilot → 试点; USD → USD. Fact-and-number audit: 1,250 users, 14 October 2026, 42 cases, up to 18%, exclusion of Atlas Export, annual period, USD 3,600, and before-tax condition are preserved. Ambiguity: “review time” could mean 审核时间 or 评审时间; 审核时间 was selected for this internal product context and should be confirmed if it names a formal workflow stage.

Why this works

  1. 1

    A protected-term ledger makes names and approved terminology independently checkable.

  2. 2

    Separating translation from source correction prevents silent changes to facts.

Check the result

  • Do all numbers, dates, units, currencies, names, conditions, and negations match the source?

  • Are approved terms used exactly and unapproved interpretations clearly flagged?

  • Has the translation preserved the source's certainty without strengthening or weakening claims?

Use it with confidence

Frequently asked questions

Practical answers about when to use this recipe, what to provide, and where human review still matters

What should I prepare before using “Translate text while preserving facts, numbers, and proper nouns”?

For “Translate text while preserving facts, numbers, and proper nouns,” prepare Source text, Target language and locale, and Protected terms and style rules. Replace placeholders only with information you can verify. If a detail is unknown, preserve that uncertainty explicitly instead of asking the model to infer it.

When is the “Translate text while preserving facts, numbers, and proper nouns” result not ready to use?

The result is not ready if it does not yet deliver the stated outcome—A faithful translation with a fact and terminology audit—from the supplied evidence, or if it relies on unresolved assumptions, missing approvals, or invented details. Use the checks as release gates: revise the source inputs or assign a named, authorized reviewer instead of polishing an unsupported output.

Which AI tools have recorded tests for “Translate text while preserving facts, numbers, and proper nouns”?

The published test record for “Translate text while preserving facts, numbers, and proper nouns” lists ChatGPT as of 2026-08-28. This confirms recorded runs, not guaranteed compatibility or identical results in later product versions. For another tool or version, keep every constraint visible and repeat the result checks before use.

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