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

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- A false answer derived from completeness is not a permanent negative fact; it can be withdrawn if the completeness state changes.

Knowledge base:

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

Positive facts:
- Vendor C submitted a tax form.

Negative facts:
- none

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

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

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

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

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

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

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

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

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

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

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


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

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

Knowledge base:

Predicate glossary:
- has_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 5 passed diagnostics.

Negative facts:
- none

Rules:
- none

Target statement: Rover 5 has shift clearance.
Target atom: has_shift_clearance::Rover 5

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 5 has shift clearance.
Target atom: has_shift_clearance::Rover 5

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_shift_clearance

Target statement: Rover 5 has shift clearance.
Target atom: has_shift_clearance::Rover 5


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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 1 passed diagnostics.

Negative facts:
- none

Rules:
- none

Target statement: Rover 1 has shift clearance.
Target atom: has_shift_clearance::Rover 1

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 1 has shift clearance.
Target atom: has_shift_clearance::Rover 1

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_shift_clearance

Target statement: Rover 1 has shift clearance.
Target atom: has_shift_clearance::Rover 1


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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 3 passed diagnostics.

Negative facts:
- none

Rules:
- none

Target statement: Rover 3 has a field note.
Target atom: has_field_note::Rover 3

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 3 has a field note.
Target atom: has_field_note::Rover 3

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_shift_clearance, may_start_shift

Target statement: Rover 3 has a field note.
Target atom: has_field_note::Rover 3


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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 6 passed diagnostics.

Negative facts:
- none

Rules:
- none

Target statement: Rover 6 has a field note.
Target atom: has_field_note::Rover 6

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 6 has a field note.
Target atom: has_field_note::Rover 6

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_shift_clearance, may_start_shift

Target statement: Rover 6 has a field note.
Target atom: has_field_note::Rover 6


Rover 2 has a field note.
Rover 1 passed diagnostics.

has_field_note::Rover 2
passed_diagnostics::Rover 1

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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 2 has a field note.
- Rover 1 passed diagnostics.

Negative facts:
- none

Rules:
- none

Target statement: Rover 1 has shift clearance.
Target atom: has_shift_clearance::Rover 1

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 1 has shift clearance.
Target atom: has_shift_clearance::Rover 1

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_shift_clearance

Target statement: Rover 1 has shift clearance.
Target atom: has_shift_clearance::Rover 1


Rover 5 has a field note.
Rover 4 passed diagnostics.

has_field_note::Rover 5
passed_diagnostics::Rover 4

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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 5 has a field note.
- Rover 4 passed diagnostics.

Negative facts:
- none

Rules:
- none

Target statement: Rover 4 has shift clearance.
Target atom: has_shift_clearance::Rover 4

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 4 has shift clearance.
Target atom: has_shift_clearance::Rover 4

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_shift_clearance

Target statement: Rover 4 has shift clearance.
Target atom: has_shift_clearance::Rover 4


Rover 6 has shift clearance.
Rover 6 passed diagnostics.

has_shift_clearance::Rover 6
passed_diagnostics::Rover 6

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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 6 has shift clearance.
- Rover 6 passed diagnostics.

Negative facts:
- none

Rules:
- none

Target statement: Rover 5 has a field note.
Target atom: has_field_note::Rover 5

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 5 has a field note.
Target atom: has_field_note::Rover 5

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_shift_clearance, may_start_shift

Target statement: Rover 5 has a field note.
Target atom: has_field_note::Rover 5


Rover 2 has shift clearance.
Rover 2 passed diagnostics.

has_shift_clearance::Rover 2
passed_diagnostics::Rover 2

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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 2 has shift clearance.
- Rover 2 passed diagnostics.

Negative facts:
- none

Rules:
- none

Target statement: Rover 1 has a field note.
Target atom: has_field_note::Rover 1

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 1 has a field note.
Target atom: has_field_note::Rover 1

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_shift_clearance, may_start_shift

Target statement: Rover 1 has a field note.
Target atom: has_field_note::Rover 1


passed_diagnostics::Rover 3
has_shift_clearance::Rover 3

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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 3 passed diagnostics.

Negative facts:
- none

Rules:
- If a robot passed diagnostics and has shift clearance, then that robot may start its shift.

Target statement: Rover 3 may start its shift.
Target atom: may_start_shift::Rover 3

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 3 may start its shift.
Target atom: may_start_shift::Rover 3

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_shift_clearance, may_start_shift

Target statement: Rover 3 may start its shift.
Target atom: may_start_shift::Rover 3


passed_diagnostics::Rover 5
has_shift_clearance::Rover 5

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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 5 passed diagnostics.

Negative facts:
- none

Rules:
- If a robot passed diagnostics and has shift clearance, then that robot may start its shift.

Target statement: Rover 5 may start its shift.
Target atom: may_start_shift::Rover 5

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 5 may start its shift.
Target atom: may_start_shift::Rover 5

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_shift_clearance, may_start_shift

Target statement: Rover 5 may start its shift.
Target atom: may_start_shift::Rover 5


passed_diagnostics::Rover 6
has_shift_clearance::Rover 6

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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 6 passed diagnostics.

Negative facts:
- none

Rules:
- If a robot passed diagnostics and has shift clearance, then that robot may start its shift.

Target statement: Rover 6 may start its shift.
Target atom: may_start_shift::Rover 6

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 6 may start its shift.
Target atom: may_start_shift::Rover 6

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_shift_clearance, may_start_shift

Target statement: Rover 6 may start its shift.
Target atom: may_start_shift::Rover 6


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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 1 passed diagnostics.

Negative facts:
- none

Rules:
- If a robot has a field note, then that robot needs operator review.

Target statement: Rover 1 needs operator review.
Target atom: needs_operator_review::Rover 1

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 1 needs operator review.
Target atom: needs_operator_review::Rover 1

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_shift_clearance, may_start_shift

Target statement: Rover 1 needs operator review.
Target atom: needs_operator_review::Rover 1


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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 2 passed diagnostics.

Negative facts:
- none

Rules:
- If a robot has a field note, then that robot needs operator review.

Target statement: Rover 2 needs operator review.
Target atom: needs_operator_review::Rover 2

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 2 needs operator review.
Target atom: needs_operator_review::Rover 2

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_shift_clearance, may_start_shift

Target statement: Rover 2 needs operator review.
Target atom: needs_operator_review::Rover 2


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_field_note: has a field note
- has_shift_clearance: has shift clearance
- may_start_shift: may start its shift
- needs_operator_review: needs operator review
- passed_diagnostics: passed diagnostics

Positive facts:
- Rover 3 passed diagnostics.

Negative facts:
- none

Rules:
- If a robot has a field note, then that robot needs operator review.

Target statement: Rover 3 needs operator review.
Target atom: needs_operator_review::Rover 3

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_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics
- Complete predicates after this update: has_field_note, has_shift_clearance, may_start_shift, needs_operator_review, passed_diagnostics

Target statement: Rover 3 needs operator review.
Target atom: needs_operator_review::Rover 3

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_shift_clearance, may_start_shift

Target statement: Rover 3 needs operator review.
Target atom: needs_operator_review::Rover 3


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:
- Iris passed the qualifying exam.

Negative facts:
- none

Rules:
- none

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

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: Iris has advising clearance.
Target atom: has_advising_clearance::Iris

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: Iris has advising clearance.
Target atom: has_advising_clearance::Iris


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:
- Theo passed the qualifying exam.

Negative facts:
- none

Rules:
- none

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

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: Theo has advising clearance.
Target atom: has_advising_clearance::Theo

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: Theo has advising clearance.
Target atom: has_advising_clearance::Theo


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:
- Noah passed the qualifying exam.

Negative facts:
- none

Rules:
- none

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

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: Noah has advising clearance.
Target atom: has_advising_clearance::Noah

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: Noah has advising clearance.
Target atom: has_advising_clearance::Noah