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

has_incident_note::Service F
passed_unit_tests::Service E

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

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- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

Predicate glossary:
- has_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 has an incident note.
- Service E passed unit tests.

Negative facts:
- none

Rules:
- none

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

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

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

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

Completeness-state update for this turn:
- Operation: ADD_COMPLETE_PREDICATES
- Predicates to add as complete: has_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 E has deployment approval.
Target atom: has_deployment_approval::Service E

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

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

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

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


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

has_deployment_approval::Service D
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 D has deployment approval.
- Service D passed unit tests.

Negative facts:
- none

Rules:
- none

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


passed_kyc::Account 59
has_compliance_clearance::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 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 59 may receive a wire transfer.
Target atom: may_receive_wire::Account 59

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 59 may receive a wire transfer.
Target atom: may_receive_wire::Account 59

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 59 may receive a wire transfer.
Target atom: may_receive_wire::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:
- 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:
- Dylan is assigned to the clinical trial.
- Cora has completed safety training.

Negative facts:
- none

Rules:
- none

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

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: Cora has security clearance.
Target atom: has_clearance::Cora

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: Cora has security clearance.
Target atom: has_clearance::Cora


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:
- Elena is assigned to the clinical trial.
- Dylan has completed safety training.

Negative facts:
- none

Rules:
- none

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

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: Dylan has security clearance.
Target atom: has_clearance::Dylan

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: Dylan has security clearance.
Target atom: has_clearance::Dylan


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:
- Ben has completed safety training.

Negative facts:
- none

Rules:
- If a staff member has security clearance and has completed safety training, then that staff member may enter Lab A.

Target statement: Ben may enter Lab A.
Target atom: may_enter_lab::Ben

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: Ben may enter Lab A.
Target atom: may_enter_lab::Ben

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, may_enter_lab

Target statement: Ben may enter Lab A.
Target atom: may_enter_lab::Ben


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_active_membership: has an active membership
- has_borrowing_clearance: has borrowing clearance
- has_special_request: has a special request
- may_borrow_archive_item: may borrow an archive item
- needs_librarian_review: needs librarian review

Positive facts:
- Reader C has an active membership.

Negative facts:
- none

Rules:
- none

Target statement: Reader C has a special request.
Target atom: has_special_request::Reader 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_active_membership, has_borrowing_clearance, has_special_request, may_borrow_archive_item, needs_librarian_review
- Complete predicates after this update: has_active_membership, has_borrowing_clearance, has_special_request, may_borrow_archive_item, needs_librarian_review

Target statement: Reader C has a special request.
Target atom: has_special_request::Reader 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_borrowing_clearance, may_borrow_archive_item

Target statement: Reader C has a special request.
Target atom: has_special_request::Reader C


has_active_membership::Reader C
has_borrowing_clearance::Reader 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_active_membership: has an active membership
- has_borrowing_clearance: has borrowing clearance
- has_special_request: has a special request
- may_borrow_archive_item: may borrow an archive item
- needs_librarian_review: needs librarian review

Positive facts:
- Reader C has an active membership.

Negative facts:
- none

Rules:
- If a reader has an active membership and has borrowing clearance, then that reader may borrow an archive item.

Target statement: Reader C may borrow an archive item.
Target atom: may_borrow_archive_item::Reader 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_active_membership, has_borrowing_clearance, has_special_request, may_borrow_archive_item, needs_librarian_review
- Complete predicates after this update: has_active_membership, has_borrowing_clearance, has_special_request, may_borrow_archive_item, needs_librarian_review

Target statement: Reader C may borrow an archive item.
Target atom: may_borrow_archive_item::Reader 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_borrowing_clearance, may_borrow_archive_item

Target statement: Reader C may borrow an archive item.
Target atom: may_borrow_archive_item::Reader 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_release_approval: has release approval
- has_supplier_note: has a supplier note
- may_ship: may ship to customers
- needs_engineer_review: needs engineer review
- passed_visual_check: passed the visual check

Positive facts:
- Part C passed the visual check.

Negative facts:
- none

Rules:
- none

Target statement: Part C has release approval.
Target atom: has_release_approval::Part 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_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check
- Complete predicates after this update: has_release_approval, has_supplier_note, may_ship, needs_engineer_review, passed_visual_check

Target statement: Part C has release approval.
Target atom: has_release_approval::Part 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_release_approval

Target statement: Part C has release approval.
Target atom: has_release_approval::Part 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_release_approval: has release approval
- has_supplier_note: has a supplier note
- may_ship: may ship to customers
- needs_engineer_review: needs engineer review
- passed_visual_check: passed the visual check

Positive facts:
- Part F passed the visual check.

Negative facts:
- none

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

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

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

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

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

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

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

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

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

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

Target statement: Part F needs engineer review.
Target atom: needs_engineer_review::Part 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_advising_clearance: has advising clearance
- has_external_scholarship: has an external scholarship
- may_register: may register for the seminar
- needs_manual_audit: needs a manual audit
- passed_exam: passed the qualifying exam

Positive facts:
- Omar passed the qualifying exam.

Negative facts:
- none

Rules:
- none

Target statement: Omar has an external scholarship.
Target atom: has_external_scholarship::Omar

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_advising_clearance, has_external_scholarship, may_register, needs_manual_audit, passed_exam
- Complete predicates after this update: has_advising_clearance, has_external_scholarship, may_register, needs_manual_audit, passed_exam

Target statement: Omar has an external scholarship.
Target atom: has_external_scholarship::Omar

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_advising_clearance, may_register

Target statement: Omar has an external scholarship.
Target atom: has_external_scholarship::Omar


Omar has an external scholarship.
Lena passed the qualifying exam.

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_advising_clearance: has advising clearance
- has_external_scholarship: has an external scholarship
- may_register: may register for the seminar
- needs_manual_audit: needs a manual audit
- passed_exam: passed the qualifying exam

Positive facts:
- Omar has an external scholarship.
- Lena passed the qualifying exam.

Negative facts:
- none

Rules:
- none

Target statement: Lena has advising clearance.
Target atom: has_advising_clearance::Lena

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_advising_clearance, has_external_scholarship, may_register, needs_manual_audit, passed_exam
- Complete predicates after this update: has_advising_clearance, has_external_scholarship, may_register, needs_manual_audit, passed_exam

Target statement: Lena has advising clearance.
Target atom: has_advising_clearance::Lena

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_advising_clearance

Target statement: Lena has advising clearance.
Target atom: has_advising_clearance::Lena