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- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.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_deployment_approval: has deployment approval
- has_incident_note: has an incident note
- may_deploy: may deploy to production
- needs_sre_review: needs SRE review
- passed_unit_tests: passed unit tests

Positive facts:
- Service B passed unit tests.

Negative facts:
- none

Rules:
- none

Target statement: Service B has deployment approval.
Target atom: has_deployment_approval::Service 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_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests
- Complete predicates after this update: has_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests

Target statement: Service B has deployment approval.
Target atom: has_deployment_approval::Service 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_deployment_approval

Target statement: Service B has deployment approval.
Target atom: has_deployment_approval::Service B


Service D has an incident note.
Service C passed unit tests.

has_incident_note::Service D
passed_unit_tests::Service 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_deployment_approval: has deployment approval
- has_incident_note: has an incident note
- may_deploy: may deploy to production
- needs_sre_review: needs SRE review
- passed_unit_tests: passed unit tests

Positive facts:
- Service D has an incident note.
- Service C passed unit tests.

Negative facts:
- none

Rules:
- none

Target statement: Service C has deployment approval.
Target atom: has_deployment_approval::Service 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_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests
- Complete predicates after this update: has_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests

Target statement: Service C has deployment approval.
Target atom: has_deployment_approval::Service 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_deployment_approval

Target statement: Service C has deployment approval.
Target atom: has_deployment_approval::Service C


Service E has an incident note.
Service D passed unit tests.

has_incident_note::Service E
passed_unit_tests::Service 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_deployment_approval: has deployment approval
- has_incident_note: has an incident note
- may_deploy: may deploy to production
- needs_sre_review: needs SRE review
- passed_unit_tests: passed unit tests

Positive facts:
- Service E has an incident note.
- Service D passed unit tests.

Negative facts:
- none

Rules:
- none

Target statement: Service D has deployment approval.
Target atom: has_deployment_approval::Service 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_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests
- Complete predicates after this update: has_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests

Target statement: Service D has deployment approval.
Target atom: has_deployment_approval::Service 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_deployment_approval

Target statement: Service D has deployment approval.
Target atom: has_deployment_approval::Service D


Service C has deployment approval.
Service C passed unit tests.

has_deployment_approval::Service C
passed_unit_tests::Service 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_deployment_approval: has deployment approval
- has_incident_note: has an incident note
- may_deploy: may deploy to production
- needs_sre_review: needs SRE review
- passed_unit_tests: passed unit tests

Positive facts:
- Service C has deployment approval.
- Service C passed unit tests.

Negative facts:
- none

Rules:
- none

Target statement: Service B has an incident note.
Target atom: has_incident_note::Service 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_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests
- Complete predicates after this update: has_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests

Target statement: Service B has an incident note.
Target atom: has_incident_note::Service 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_deployment_approval, may_deploy

Target statement: Service B has an incident note.
Target atom: has_incident_note::Service B


passed_unit_tests::Service F
has_deployment_approval::Service 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_deployment_approval: has deployment approval
- has_incident_note: has an incident note
- may_deploy: may deploy to production
- needs_sre_review: needs SRE review
- passed_unit_tests: passed unit tests

Positive facts:
- Service F passed unit tests.

Negative facts:
- none

Rules:
- If a service passed unit tests and has deployment approval, then that service may deploy to production.

Target statement: Service F may deploy to production.
Target atom: may_deploy::Service 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_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests
- Complete predicates after this update: has_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests

Target statement: Service F may deploy to production.
Target atom: may_deploy::Service 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_deployment_approval, may_deploy

Target statement: Service F may deploy to production.
Target atom: may_deploy::Service 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_deployment_approval: has deployment approval
- has_incident_note: has an incident note
- may_deploy: may deploy to production
- needs_sre_review: needs SRE review
- passed_unit_tests: passed unit tests

Positive facts:
- Service C passed unit tests.

Negative facts:
- none

Rules:
- If a service has an incident note, then that service needs SRE review.

Target statement: Service C needs SRE review.
Target atom: needs_sre_review::Service 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_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests
- Complete predicates after this update: has_deployment_approval, has_incident_note, may_deploy, needs_sre_review, passed_unit_tests

Target statement: Service C needs SRE review.
Target atom: needs_sre_review::Service 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_deployment_approval, may_deploy

Target statement: Service C needs SRE review.
Target atom: needs_sre_review::Service 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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 12 passed KYC checks.

Negative facts:
- none

Rules:
- none

Target statement: Account 12 has compliance clearance.
Target atom: has_compliance_clearance::Account 12

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 12 has compliance clearance.
Target atom: has_compliance_clearance::Account 12

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_compliance_clearance

Target statement: Account 12 has compliance clearance.
Target atom: has_compliance_clearance::Account 12


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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 35 passed KYC checks.

Negative facts:
- none

Rules:
- none

Target statement: Account 35 has compliance clearance.
Target atom: has_compliance_clearance::Account 35

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 35 has compliance clearance.
Target atom: has_compliance_clearance::Account 35

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_compliance_clearance

Target statement: Account 35 has compliance clearance.
Target atom: has_compliance_clearance::Account 35


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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 61 passed KYC checks.

Negative facts:
- none

Rules:
- none

Target statement: Account 61 has a manual exception.
Target atom: has_manual_exception::Account 61

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 61 has a manual exception.
Target atom: has_manual_exception::Account 61

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_compliance_clearance, may_receive_wire

Target statement: Account 61 has a manual exception.
Target atom: has_manual_exception::Account 61


Account 59 has a manual exception.
Account 48 passed KYC checks.

has_manual_exception::Account 59
passed_kyc::Account 48

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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 59 has a manual exception.
- Account 48 passed KYC checks.

Negative facts:
- none

Rules:
- none

Target statement: Account 48 has compliance clearance.
Target atom: has_compliance_clearance::Account 48

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 48 has compliance clearance.
Target atom: has_compliance_clearance::Account 48

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_compliance_clearance

Target statement: Account 48 has compliance clearance.
Target atom: has_compliance_clearance::Account 48


Account 12 has a manual exception.
Account 61 passed KYC checks.

has_manual_exception::Account 12
passed_kyc::Account 61

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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 12 has a manual exception.
- Account 61 passed KYC checks.

Negative facts:
- none

Rules:
- none

Target statement: Account 61 has compliance clearance.
Target atom: has_compliance_clearance::Account 61

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 61 has compliance clearance.
Target atom: has_compliance_clearance::Account 61

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_compliance_clearance

Target statement: Account 61 has compliance clearance.
Target atom: has_compliance_clearance::Account 61


Account 27 has compliance clearance.
Account 27 passed KYC checks.

has_compliance_clearance::Account 27
passed_kyc::Account 27

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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 27 has compliance clearance.
- Account 27 passed KYC checks.

Negative facts:
- none

Rules:
- none

Target statement: Account 12 has a manual exception.
Target atom: has_manual_exception::Account 12

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 12 has a manual exception.
Target atom: has_manual_exception::Account 12

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_compliance_clearance, may_receive_wire

Target statement: Account 12 has a manual exception.
Target atom: has_manual_exception::Account 12


Account 59 has compliance clearance.
Account 59 passed KYC checks.

has_compliance_clearance::Account 59
passed_kyc::Account 59

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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 59 has compliance clearance.
- Account 59 passed KYC checks.

Negative facts:
- none

Rules:
- none

Target statement: Account 48 has a manual exception.
Target atom: has_manual_exception::Account 48

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 48 has a manual exception.
Target atom: has_manual_exception::Account 48

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_compliance_clearance, may_receive_wire

Target statement: Account 48 has a manual exception.
Target atom: has_manual_exception::Account 48


passed_kyc::Account 61
has_compliance_clearance::Account 61

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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 61 passed KYC checks.

Negative facts:
- none

Rules:
- If an account passed KYC checks and has compliance clearance, then that account may receive a wire transfer.

Target statement: Account 61 may receive a wire transfer.
Target atom: may_receive_wire::Account 61

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 61 may receive a wire transfer.
Target atom: may_receive_wire::Account 61

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_compliance_clearance, may_receive_wire

Target statement: Account 61 may receive a wire transfer.
Target atom: may_receive_wire::Account 61


passed_kyc::Account 27
has_compliance_clearance::Account 27

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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 27 passed KYC checks.

Negative facts:
- none

Rules:
- If an account passed KYC checks and has compliance clearance, then that account may receive a wire transfer.

Target statement: Account 27 may receive a wire transfer.
Target atom: may_receive_wire::Account 27

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 27 may receive a wire transfer.
Target atom: may_receive_wire::Account 27

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_compliance_clearance, may_receive_wire

Target statement: Account 27 may receive a wire transfer.
Target atom: may_receive_wire::Account 27


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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 35 passed KYC checks.

Negative facts:
- none

Rules:
- If an account has a manual exception, then that account needs compliance review.

Target statement: Account 35 needs compliance review.
Target atom: needs_compliance_review::Account 35

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 35 needs compliance review.
Target atom: needs_compliance_review::Account 35

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_compliance_clearance, may_receive_wire

Target statement: Account 35 needs compliance review.
Target atom: needs_compliance_review::Account 35


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_compliance_clearance: has compliance clearance
- has_manual_exception: has a manual exception
- may_receive_wire: may receive a wire transfer
- needs_compliance_review: needs compliance review
- passed_kyc: passed KYC checks

Positive facts:
- Account 48 passed KYC checks.

Negative facts:
- none

Rules:
- If an account has a manual exception, then that account needs compliance review.

Target statement: Account 48 needs compliance review.
Target atom: needs_compliance_review::Account 48

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_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc
- Complete predicates after this update: has_compliance_clearance, has_manual_exception, may_receive_wire, needs_compliance_review, passed_kyc

Target statement: Account 48 needs compliance review.
Target atom: needs_compliance_review::Account 48

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_compliance_clearance, may_receive_wire

Target statement: Account 48 needs compliance review.
Target atom: needs_compliance_review::Account 48


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:
- assigned_to_trial: is assigned to the clinical trial
- completed_training: has completed safety training
- has_clearance: has security clearance
- may_enter_lab: may enter Lab A
- needs_supervisor_review: needs supervisor review

Positive facts:
- Ava has completed safety training.

Negative facts:
- none

Rules:
- none

Target statement: Ava has security clearance.
Target atom: has_clearance::Ava

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: assigned_to_trial, completed_training, has_clearance, may_enter_lab, needs_supervisor_review
- Complete predicates after this update: assigned_to_trial, completed_training, has_clearance, may_enter_lab, needs_supervisor_review

Target statement: Ava has security clearance.
Target atom: has_clearance::Ava

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_clearance

Target statement: Ava has security clearance.
Target atom: has_clearance::Ava