What this category's data looks like
Adult college entrance examination registration and admission management involves three types of materials: registration forms, care bonus point materials, and admission rosters. The sources are registration and admission documents issued by provincial admissions and examination institutions, and the update cadence advances round by round with the registration season, review period, and admission batches. Registration forms contain the candidate's basic information, application level and subject category, photo, and contact details; care bonus point materials contain bonus item, certificate number, review opinion, and signature/seal; admission rosters contain candidate number, admitted major, admission batch, date, and responsible person's signature. When these three types of materials enter the multilingual materials and terminology processing function, registration forms serve as the baseline for field names and candidate identity terminology, care bonus point materials serve as the comparison basis for bonus item names and review conclusion terminology, and admission rosters serve as the final version for admission status and batch terminology, jointly supporting the production of a unified terminology glossary and comparison draft.
Configuration and implementation checks
This part is executed by the memory turns and prompt configuration in application settings, and outputs the referenced historical message range and answer constraints. The "unified terminology glossary and comparison draft" is then completed by the model. External entry points and authorization are handled by the publishing service and file permissions.
| Object | Check | Verification action |
|---|---|---|
| Adult college entrance examination registration form | Field names, dates, and signatures are written consistently across the three types of materials, and translated names can refer back to the source text | Check the memory turns value in application settings, run a trial with two consecutive follow-up questions, check whether the second round inherits the references from the first round, and verify the correspondence between messages and chatId |
| Care bonus point materials | Bonus item names, certificate numbers, and review opinions match between the two materials for the same record | Extract three bonus terminology items and check their wording throughout the document, and verify whether the item names and review conclusions in variables are consistent |
| Admission roster | Admission batch, major name, date, and responsible person's signature do not conflict between the roster and the registration form | Spot-check the same candidate's name, quantity, and date in the roster and registration form, and confirm there is no missing signature or receipt |
| Unified terminology glossary and comparison draft | The same terminology is consistent throughout the document, and translated names can refer back to the source text | Extract three terminology items and check whether their wording is consistent throughout the document, and verify that the tokens and array item count of the quoted text are recorded separately |
Three common errors
- Symptom: The same candidate's name or date does not match between the registration form and the admission roster. Cause: The versions of the two materials are not synchronized, and the terminology glossary has not locked the baseline wording.
- Symptom: Care bonus point materials are missing review signatures or receipts. Cause: The material circulation step was not backfilled, and the terminology comparison draft did not mark the signature/seal status.
- Symptom: When references are used in the second question, the answer does not address the question, responses become slower, and consumption increases. Cause: The memory turns value is too large and brings in irrelevant prior text, or the opening message is treated as prior text.
How to verify the setup
Acceptance for this function: with two consecutive follow-up questions, see whether the second question inherits the references from the first question, and verify the values of messages, chatId, and variables within the historical message range.
Business test: extract three terminology items and check whether their wording is consistent throughout the document.
- Check the current memory turns value in application settings and match it with the prior text range required by the question.
- Compare the usage records of two runs to confirm that consumption changes accordingly after adjusting the turns.