Capture run provenance and prompt/version settings for reproducibility.
{
"run_id": "run-20260412T113615Z-rung_400_progress_releva-qwen35_semparse_9b-28748",
"run_started_utc": "2026-04-12T11:36:15+00:00",
"run_finished_utc": "2026-04-12T11:36:53+00:00",
"scenario": "rung_400_progress_relevance_repair",
"ontology_kb_name": "rung_400_progress_relevance_repair",
"backend": "ollama",
"model": "qwen35-semparse:9b",
"model_settings": {
"temperature": 0,
"context_length": 8192,
"classifier_context_length": 2048,
"timeout_seconds": 120,
"runtime": "core",
"two_pass": true,
"split_extraction": true,
"strict_registry": false,
"strict_types": false,
"clarification_eagerness": 0.35,
"max_clarification_rounds": 2,
"require_final_confirmation": false,
"progress_memory_enabled": true,
"progress_low_relevance_threshold": 0.34,
"progress_high_risk_threshold": 0.18,
"clarification_auto_answer_enabled": false,
"clarification_answer_backend": "",
"clarification_answer_base_url": "",
"clarification_answer_model": "",
"clarification_answer_context_length": 0,
"clarification_answer_history_turns": 0,
"clarification_answer_kb_clause_limit": 0,
"clarification_answer_kb_char_budget": 0,
"clarification_answer_min_confidence": 0.0,
"clarification_answer_source_prefix": "",
"clarification_answer_role": "",
"served_llm_model": "",
"served_llm_backend": "",
"served_llm_base_url": "",
"served_llm_context_length": 0,
"backend_options": {
"num_ctx": 8192
}
},
"prompt_provenance": {
"status": "ok",
"prompt_id": "sp-1e43c641b01b",
"prompt_sha256": "1e43c641b01b7c845b82331b521d58c1993e8010bd9283f5085dac687520159e",
"source_path": "D:\\_PROJECTS\\prethinker\\modelfiles\\semantic_parser_system_prompt.md",
"snapshot_path": "D:\\_PROJECTS\\prethinker\\modelfiles\\history\\prompts\\sp-1e43c641b01b.md",
"snapshot_created": false,
"char_count": 9603,
"line_count": 221,
"preview": "# Semantic Parser Prompt Pack (Qwen 3.5 9B)\nUse this as maintainable guidance for semantic parsing into Prolog structures.\nKeep behavior language-agnostic, deterministic, and schema-strict.\n## Core Priorities\n1. Output exactly one JSON object that matches the required schema.\n2. Preserve semantic meaning; do not hallucinate entities, facts, or arguments.\n3. Prefer canonical, stable predicate names across turns when semantics match.\n4. Use variables instead of assumptions when referents are unresolved."
}
}prompt_id=sp-1e43c641b01b prompt_sha256=1e43c641b01b7c845b82331b521d58c1993e8010bd9283f5085dac687520159e snapshot_path=D:\_PROJECTS\prethinker\modelfiles\history\prompts\sp-1e43c641b01b.md preview: # Semantic Parser Prompt Pack (Qwen 3.5 9B) Use this as maintainable guidance for semantic parsing into Prolog structures. Keep behavior language-agnostic, deterministic, and schema-strict. ## Core Priorities 1. Output exactly one JSON object that matches the required schema. 2. Preserve semantic meaning; do not hallucinate entities, facts, or arguments. 3. Prefer canonical, stable predicate names across turns when semantics match. 4. Use variables instead of assumptions when referents are unresolved.
We are focused on hospital oxygen supply and ICU throughput.
{
"expected_utterance": "We are focused on hospital oxygen supply and ICU throughput.",
"observed_utterance": "We are focused on hospital oxygen supply and ICU throughput.",
"route": "other",
"expected_route": "assert_fact",
"route_source": "model",
"repaired": false,
"fallback_used": false,
"parsed": {
"intent": "other",
"logic_string": "",
"components": {
"atoms": [],
"variables": [],
"predicates": []
},
"facts": [],
"rules": [],
"queries": [],
"confidence": {
"overall": 1.0,
"intent": 1.0,
"logic": 1.0
},
"ambiguities": [],
"needs_clarification": false,
"uncertainty_score": 0.0,
"uncertainty_label": "low",
"clarification_question": "Can you clarify this point before I apply it: Utterance is a statement of focus, not a declarative claim, rule, query,?",
"clarification_reason": "Utterance is a statement of focus, not a declarative claim, rule, query,",
"rationale": "Utterance is a statement of focus, not a declarative claim, rule, query, or retraction."
},
"validation_errors": [],
"apply_status": "skipped",
"utterance_ok": 1.0,
"turn_score": 0.75,
"clarification_rounds": [],
"clarification_pending": false,
"clarification_question": "Can you clarify this point before I apply it: Utterance is a statement of focus, not a declarative claim, rule, query,?",
"clarification_policy": {
"clarification_eagerness": 0.35,
"uncertainty_score": 0.0,
"effective_uncertainty": 0.0,
"threshold": 0.65,
"request_clarification": false,
"needs_clarification_flag": false,
"progress_low_relevance": false,
"progress_high_risk": false,
"progress_low_relevance_threshold": 0.34,
"progress_high_risk_threshold": 0.18,
"progress_memory_available": true,
"progress_focus_present": true,
"progress_signal_term_count": 17,
"parsed_signal_term_count": 11,
"overlap_term_count": 6,
"progress_overlap_terms": [
"and",
"hospital",
"icu",
"oxygen",
"supply",
"throughput"
],
"progress_best_focus_overlap": 1.0,
"progress_relevance_score": 1.0
}
}Why asked: Seed grounded terms/constants as facts for later inference. Utterance expected/observed: We are focused on hospital oxygen supply and ICU throughput. / We are focused on hospital oxygen supply and ICU throughput. Route expected/observed: assert_fact / other Parser path: source=model repaired=False fallback=False
intent=other apply_tool=none apply_status=skipped effect=none message=Intent=other; no KB mutation/query applied.
intent=other logic= facts=[] rules=[] queries=[] uncertainty_score=0.0 uncertainty_label=low needs_clarification=False clarification_question=Can you clarify this point before I apply it: Utterance is a statement of focus, not a declarative claim, rule, query,? clarification_reason=Utterance is a statement of focus, not a declarative claim, rule, query, predicates=[] atoms=[] variables=[]
pending=False
question=Can you clarify this point before I apply it: Utterance is a statement of focus, not a declarative claim, rule, query,?
rounds_used=0 max_rounds=2
policy={'clarification_eagerness': 0.35, 'uncertainty_score': 0.0, 'effective_uncertainty': 0.0, 'threshold': 0.65, 'request_clarification': False, 'needs_clarification_flag': False, 'progress_low_relevance': False, 'progress_high_risk': False, 'progress_low_relevance_threshold': 0.34, 'progress_high_risk_threshold': 0.18, 'progress_memory_available': True, 'progress_focus_present': True, 'progress_signal_term_count': 17, 'parsed_signal_term_count': 11, 'overlap_term_count': 6, 'progress_overlap_terms': ['and', 'hospital', 'icu', 'oxygen', 'supply', 'throughput'], 'progress_best_focus_overlap': 1.0, 'progress_relevance_score': 1.0}score=0.75 (parse_ok=1.0, route_ok=0.0, apply_ok=1.0, utterance_ok=1.0) apply_tool=none apply_status=skipped
incident(oxygen_supply_delay).
{
"expected_utterance": "incident(oxygen_supply_delay).",
"observed_utterance": "incident(oxygen_supply_delay).",
"route": "assert_fact",
"expected_route": "assert_fact",
"route_source": "model",
"repaired": false,
"fallback_used": false,
"parsed": {
"intent": "assert_fact",
"logic_string": "incident(oxygen_supply_delay).",
"components": {
"atoms": [
"oxygen_supply_delay"
],
"variables": [],
"predicates": [
"incident"
]
},
"facts": [
"incident(oxygen_supply_delay)."
],
"rules": [],
"queries": [],
"confidence": {
"overall": 0.95,
"intent": 1.0,
"logic": 1.0
},
"ambiguities": [],
"needs_clarification": false,
"uncertainty_score": 0.05,
"uncertainty_label": "low",
"clarification_question": "Can you clarify this point before I apply it: Direct mapping of atomic fact to Prolog predicate?",
"clarification_reason": "Direct mapping of atomic fact to Prolog predicate.",
"rationale": "Direct mapping of atomic fact to Prolog predicate."
},
"validation_errors": [],
"apply_status": "success",
"utterance_ok": 1.0,
"turn_score": 1.0,
"clarification_rounds": [],
"clarification_pending": false,
"clarification_question": "Can you clarify this point before I apply it: Direct mapping of atomic fact to Prolog predicate?",
"clarification_policy": {
"clarification_eagerness": 0.35,
"uncertainty_score": 0.05,
"effective_uncertainty": 0.05,
"threshold": 0.65,
"request_clarification": false,
"needs_clarification_flag": false,
"progress_low_relevance": false,
"progress_high_risk": false,
"progress_low_relevance_threshold": 0.34,
"progress_high_risk_threshold": 0.18,
"progress_memory_available": true,
"progress_focus_present": true,
"progress_signal_term_count": 17,
"parsed_signal_term_count": 6,
"overlap_term_count": 2,
"progress_overlap_terms": [
"oxygen",
"supply"
],
"progress_best_focus_overlap": 0.667,
"progress_relevance_score": 0.667
}
}Why asked: Seed grounded terms/constants as facts for later inference. Utterance expected/observed: incident(oxygen_supply_delay). / incident(oxygen_supply_delay). Route expected/observed: assert_fact / assert_fact Parser path: source=model repaired=False fallback=False
intent=assert_fact apply_tool=assert_fact apply_status=success effect=mutation(write) submitted=incident(oxygen_supply_delay). result_type=fact_asserted fact=incident(oxygen_supply_delay).
intent=assert_fact logic=incident(oxygen_supply_delay). facts=['incident(oxygen_supply_delay).'] rules=[] queries=[] uncertainty_score=0.05 uncertainty_label=low needs_clarification=False clarification_question=Can you clarify this point before I apply it: Direct mapping of atomic fact to Prolog predicate? clarification_reason=Direct mapping of atomic fact to Prolog predicate. predicates=['incident'] atoms=['oxygen_supply_delay'] variables=[]
pending=False
question=Can you clarify this point before I apply it: Direct mapping of atomic fact to Prolog predicate?
rounds_used=0 max_rounds=2
policy={'clarification_eagerness': 0.35, 'uncertainty_score': 0.05, 'effective_uncertainty': 0.05, 'threshold': 0.65, 'request_clarification': False, 'needs_clarification_flag': False, 'progress_low_relevance': False, 'progress_high_risk': False, 'progress_low_relevance_threshold': 0.34, 'progress_high_risk_threshold': 0.18, 'progress_memory_available': True, 'progress_focus_present': True, 'progress_signal_term_count': 17, 'parsed_signal_term_count': 6, 'overlap_term_count': 2, 'progress_overlap_terms': ['oxygen', 'supply'], 'progress_best_focus_overlap': 0.667, 'progress_relevance_score': 0.667}score=1.0 (parse_ok=1.0, route_ok=1.0, apply_ok=1.0, utterance_ok=1.0) apply_tool=assert_fact apply_status=success
query incident(oxygen_supply_delay).
{
"expected_utterance": "query incident(oxygen_supply_delay).",
"observed_utterance": "query incident(oxygen_supply_delay).",
"route": "query",
"expected_route": "assert_fact",
"route_source": "model",
"repaired": false,
"fallback_used": false,
"parsed": {
"intent": "query",
"logic_string": "incident(oxygen_supply_delay).",
"components": {
"atoms": [
"oxygen_supply_delay"
],
"variables": [],
"predicates": [
"incident"
]
},
"facts": [],
"rules": [],
"queries": [
"incident(oxygen_supply_delay)."
],
"confidence": {
"overall": 0.95,
"intent": 1.0,
"logic": 0.95
},
"ambiguities": [],
"needs_clarification": false,
"uncertainty_score": 0.05,
"uncertainty_label": "low",
"clarification_question": "Can you clarify this point before I apply it: Utterance is a direct query about the existence of an incident with?",
"clarification_reason": "Utterance is a direct query about the existence of an incident with",
"rationale": "Utterance is a direct query about the existence of an incident with a specific type. Predicate 'incident' is reused from ontology. No ambiguity in entities or direction."
},
"validation_errors": [],
"apply_status": "success",
"utterance_ok": 1.0,
"turn_score": 0.75,
"clarification_rounds": [],
"clarification_pending": false,
"clarification_question": "Can you clarify this point before I apply it: Utterance is a direct query about the existence of an incident with?",
"clarification_policy": {
"clarification_eagerness": 0.35,
"uncertainty_score": 0.05,
"effective_uncertainty": 0.05,
"threshold": 0.65,
"request_clarification": false,
"needs_clarification_flag": false,
"progress_low_relevance": false,
"progress_high_risk": false,
"progress_low_relevance_threshold": 0.34,
"progress_high_risk_threshold": 0.18,
"progress_memory_available": true,
"progress_focus_present": true,
"progress_signal_term_count": 17,
"parsed_signal_term_count": 8,
"overlap_term_count": 2,
"progress_overlap_terms": [
"oxygen",
"supply"
],
"progress_best_focus_overlap": 0.667,
"progress_relevance_score": 0.667
}
}Why asked: Seed grounded terms/constants as facts for later inference. Utterance expected/observed: query incident(oxygen_supply_delay). / query incident(oxygen_supply_delay). Route expected/observed: assert_fact / query Parser path: source=model repaired=False fallback=False
intent=query apply_tool=query_rows apply_status=success effect=none submitted=incident(oxygen_supply_delay). result_type=table
intent=query logic=incident(oxygen_supply_delay). facts=[] rules=[] queries=['incident(oxygen_supply_delay).'] uncertainty_score=0.05 uncertainty_label=low needs_clarification=False clarification_question=Can you clarify this point before I apply it: Utterance is a direct query about the existence of an incident with? clarification_reason=Utterance is a direct query about the existence of an incident with predicates=['incident'] atoms=['oxygen_supply_delay'] variables=[]
pending=False
question=Can you clarify this point before I apply it: Utterance is a direct query about the existence of an incident with?
rounds_used=0 max_rounds=2
policy={'clarification_eagerness': 0.35, 'uncertainty_score': 0.05, 'effective_uncertainty': 0.05, 'threshold': 0.65, 'request_clarification': False, 'needs_clarification_flag': False, 'progress_low_relevance': False, 'progress_high_risk': False, 'progress_low_relevance_threshold': 0.34, 'progress_high_risk_threshold': 0.18, 'progress_memory_available': True, 'progress_focus_present': True, 'progress_signal_term_count': 17, 'parsed_signal_term_count': 8, 'overlap_term_count': 2, 'progress_overlap_terms': ['oxygen', 'supply'], 'progress_best_focus_overlap': 0.667, 'progress_relevance_score': 0.667}score=0.75 (parse_ok=1.0, route_ok=0.0, apply_ok=1.0, utterance_ok=1.0) apply_tool=query_rows apply_status=success
Run deterministic KB validations and compare against expectations.
{
"validation_total": 1,
"validation_passed": 1,
"overall_status": "passed",
"turn_parse_failures": 0,
"turn_apply_failures": 0
}score=1.0 (1/1 passed)
status_recorded_after_relevance_clarification: PASS (query=incident(oxygen_supply_delay)., expected=success, observed=success)
query=incident(oxygen_supply_delay). expected=success observed=success reasons=none