Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_release_approval: has release approval
- has_supplier_note: has a supplier note
- may_ship: may ship to customers
- needs_engineer_review: needs engineer review
- passed_visual_check: passed the visual check

Positive facts:
- Part D passed the visual check.

Negative facts:
- none

Rules:
- none

Target statement: Part D has a supplier note.
Target atom: has_supplier_note::Part D

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check
- Complete predicates after this update: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check

Target statement: Part D has a supplier note.
Target atom: has_supplier_note::Part D

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_release_approval, may_ship

Target statement: Part D has a supplier note.
Target atom: has_supplier_note::Part D


Part C has a supplier note.
Part B passed the visual check.

has_supplier_note::Part C
passed_visual_check::Part B

Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_release_approval: has release approval
- has_supplier_note: has a supplier note
- may_ship: may ship to customers
- needs_engineer_review: needs engineer review
- passed_visual_check: passed the visual check

Positive facts:
- Part C has a supplier note.
- Part B passed the visual check.

Negative facts:
- none

Rules:
- none

Target statement: Part B has release approval.
Target atom: has_release_approval::Part B

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check
- Complete predicates after this update: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check

Target statement: Part B has release approval.
Target atom: has_release_approval::Part B

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_release_approval

Target statement: Part B has release approval.
Target atom: has_release_approval::Part B


Part A has release approval.
Part A passed the visual check.

has_release_approval::Part A
passed_visual_check::Part A

Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_release_approval: has release approval
- has_supplier_note: has a supplier note
- may_ship: may ship to customers
- needs_engineer_review: needs engineer review
- passed_visual_check: passed the visual check

Positive facts:
- Part A has release approval.
- Part A passed the visual check.

Negative facts:
- none

Rules:
- none

Target statement: Part F has a supplier note.
Target atom: has_supplier_note::Part F

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check
- Complete predicates after this update: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check

Target statement: Part F has a supplier note.
Target atom: has_supplier_note::Part F

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_release_approval, may_ship

Target statement: Part F has a supplier note.
Target atom: has_supplier_note::Part F


passed_visual_check::Part B
has_release_approval::Part B

Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_release_approval: has release approval
- has_supplier_note: has a supplier note
- may_ship: may ship to customers
- needs_engineer_review: needs engineer review
- passed_visual_check: passed the visual check

Positive facts:
- Part B passed the visual check.

Negative facts:
- none

Rules:
- If a part passed the visual check and has release approval, then that part may ship to customers.

Target statement: Part B may ship to customers.
Target atom: may_ship::Part B

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check
- Complete predicates after this update: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check

Target statement: Part B may ship to customers.
Target atom: may_ship::Part B

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_release_approval, may_ship

Target statement: Part B may ship to customers.
Target atom: may_ship::Part B


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_release_approval: has release approval
- has_supplier_note: has a supplier note
- may_ship: may ship to customers
- needs_engineer_review: needs engineer review
- passed_visual_check: passed the visual check

Positive facts:
- Part E passed the visual check.

Negative facts:
- none

Rules:
- If a part has a supplier note, then that part needs engineer review.

Target statement: Part E needs engineer review.
Target atom: needs_engineer_review::Part E

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check
- Complete predicates after this update: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check

Target statement: Part E needs engineer review.
Target atom: needs_engineer_review::Part E

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_release_approval, may_ship

Target statement: Part E needs engineer review.
Target atom: needs_engineer_review::Part E


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_release_approval: has release approval
- has_supplier_note: has a supplier note
- may_ship: may ship to customers
- needs_engineer_review: needs engineer review
- passed_visual_check: passed the visual check

Positive facts:
- Part A passed the visual check.

Negative facts:
- none

Rules:
- If a part has a supplier note, then that part needs engineer review.

Target statement: Part A needs engineer review.
Target atom: needs_engineer_review::Part A

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check
- Complete predicates after this update: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check

Target statement: Part A needs engineer review.
Target atom: needs_engineer_review::Part A

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_release_approval, may_ship

Target statement: Part A needs engineer review.
Target atom: needs_engineer_review::Part A


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_release_approval: has release approval
- has_supplier_note: has a supplier note
- may_ship: may ship to customers
- needs_engineer_review: needs engineer review
- passed_visual_check: passed the visual check

Positive facts:
- Part B passed the visual check.

Negative facts:
- none

Rules:
- If a part has a supplier note, then that part needs engineer review.

Target statement: Part B needs engineer review.
Target atom: needs_engineer_review::Part B

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check
- Complete predicates after this update: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check

Target statement: Part B needs engineer review.
Target atom: needs_engineer_review::Part B

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_release_approval, may_ship

Target statement: Part B needs engineer review.
Target atom: needs_engineer_review::Part B


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor E submitted a tax form.

Negative facts:
- none

Rules:
- none

Target statement: Vendor E has vendor approval.
Target atom: has_vendor_approval::Vendor E

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor E has vendor approval.
Target atom: has_vendor_approval::Vendor E

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval

Target statement: Vendor E has vendor approval.
Target atom: has_vendor_approval::Vendor E


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor F submitted a tax form.

Negative facts:
- none

Rules:
- none

Target statement: Vendor F has vendor approval.
Target atom: has_vendor_approval::Vendor F

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor F has vendor approval.
Target atom: has_vendor_approval::Vendor F

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval

Target statement: Vendor F has vendor approval.
Target atom: has_vendor_approval::Vendor F


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor C submitted a tax form.

Negative facts:
- none

Rules:
- none

Target statement: Vendor C has a risk note.
Target atom: has_risk_note::Vendor C

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor C has a risk note.
Target atom: has_risk_note::Vendor C

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval, may_receive_purchase_order

Target statement: Vendor C has a risk note.
Target atom: has_risk_note::Vendor C


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor D submitted a tax form.

Negative facts:
- none

Rules:
- none

Target statement: Vendor D has a risk note.
Target atom: has_risk_note::Vendor D

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor D has a risk note.
Target atom: has_risk_note::Vendor D

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval, may_receive_purchase_order

Target statement: Vendor D has a risk note.
Target atom: has_risk_note::Vendor D


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor F submitted a tax form.

Negative facts:
- none

Rules:
- none

Target statement: Vendor F has a risk note.
Target atom: has_risk_note::Vendor F

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor F has a risk note.
Target atom: has_risk_note::Vendor F

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval, may_receive_purchase_order

Target statement: Vendor F has a risk note.
Target atom: has_risk_note::Vendor F


Vendor F has vendor approval.
Vendor F submitted a tax form.

has_vendor_approval::Vendor F
submitted_tax_form::Vendor F

Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor F has vendor approval.
- Vendor F submitted a tax form.

Negative facts:
- none

Rules:
- none

Target statement: Vendor E has a risk note.
Target atom: has_risk_note::Vendor E

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor E has a risk note.
Target atom: has_risk_note::Vendor E

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval, may_receive_purchase_order

Target statement: Vendor E has a risk note.
Target atom: has_risk_note::Vendor E


Vendor A has vendor approval.
Vendor A submitted a tax form.

has_vendor_approval::Vendor A
submitted_tax_form::Vendor A

Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor A has vendor approval.
- Vendor A submitted a tax form.

Negative facts:
- none

Rules:
- none

Target statement: Vendor F has a risk note.
Target atom: has_risk_note::Vendor F

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor F has a risk note.
Target atom: has_risk_note::Vendor F

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval, may_receive_purchase_order

Target statement: Vendor F has a risk note.
Target atom: has_risk_note::Vendor F


Vendor B has vendor approval.
Vendor B submitted a tax form.

has_vendor_approval::Vendor B
submitted_tax_form::Vendor B

Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor B has vendor approval.
- Vendor B submitted a tax form.

Negative facts:
- none

Rules:
- none

Target statement: Vendor A has a risk note.
Target atom: has_risk_note::Vendor A

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor A has a risk note.
Target atom: has_risk_note::Vendor A

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval, may_receive_purchase_order

Target statement: Vendor A has a risk note.
Target atom: has_risk_note::Vendor A


Vendor C has vendor approval.
Vendor C submitted a tax form.

has_vendor_approval::Vendor C
submitted_tax_form::Vendor C

Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor C has vendor approval.
- Vendor C submitted a tax form.

Negative facts:
- none

Rules:
- none

Target statement: Vendor B has a risk note.
Target atom: has_risk_note::Vendor B

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor B has a risk note.
Target atom: has_risk_note::Vendor B

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval, may_receive_purchase_order

Target statement: Vendor B has a risk note.
Target atom: has_risk_note::Vendor B


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor A submitted a tax form.

Negative facts:
- none

Rules:
- If a vendor has a risk note, then that vendor needs procurement review.

Target statement: Vendor A needs procurement review.
Target atom: needs_procurement_review::Vendor A

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor A needs procurement review.
Target atom: needs_procurement_review::Vendor A

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval, may_receive_purchase_order

Target statement: Vendor A needs procurement review.
Target atom: needs_procurement_review::Vendor A


Prompt:
This is turn 1 of a 3-turn dynamic completeness dialogue.
You are given an initial knowledge base and an initial completeness state.
Do not use outside knowledge.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly open. For turn 1, changed_from_previous must be null.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_risk_note: has a risk note
- has_vendor_approval: has vendor approval
- may_receive_purchase_order: may receive a purchase order
- needs_procurement_review: needs procurement review
- submitted_tax_form: submitted a tax form

Positive facts:
- Vendor B submitted a tax form.

Negative facts:
- none

Rules:
- If a vendor has a risk note, then that vendor needs procurement review.

Target statement: Vendor B needs procurement review.
Target atom: needs_procurement_review::Vendor B

Completeness-state update for this turn:
- Operation: SET_COMPLETE_PREDICATES
- New complete predicates: none

Prompt:
This is turn 2 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly global_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form
- Complete predicates after this update: has_risk_note, has_vendor_approval, may_receive_purchase_order, needs_procurement_review, submitted_tax_form

Target statement: Vendor B needs procurement review.
Target atom: needs_procurement_review::Vendor B

Prompt:
This is turn 3 of a 3-turn dynamic completeness dialogue.
Keep the exact same knowledge base, facts, rules, glossary, and target from turn 1.
Apply only the completeness-state update below.
Recompute the answer from the updated state. Do not treat a previous false/unknown conclusion as a new fact.
Return exactly one compact JSON object with keys answer, changed_from_previous, applied_update, and rationale. The answer value must be one of true, false, unknown. The changed_from_previous value must be true, false, or null. The applied_update value must be one of open, global_complete, local_complete. For this turn, applied_update must be exactly local_complete. For this turn, changed_from_previous must be true iff your current answer differs from your immediately previous answer.

Reasoning contract:
- Positive facts are true.
- Negative facts make the corresponding target atom false.
- A rule derives its conclusion only when every antecedent is true.
- First apply all rules until no new facts can be derived.
- Then evaluate unstated and underivable atoms using the current completeness state.
- If a predicate is complete, an unstated and underivable atom using that predicate is false.
- If a predicate is not complete, an unstated and underivable atom using that predicate is unknown.
- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Completeness-state update for this turn:
- Operation: REPLACE_COMPLETE_PREDICATES
- Discard the previous complete-predicate set.
- Replacement complete predicates: has_vendor_approval, may_receive_purchase_order

Target statement: Vendor B needs procurement review.
Target atom: needs_procurement_review::Vendor B