← All Test Cases
high
SUP-001
supersession
Repetitions
2
Documents
2
Questions
1
Reasoning
DIRECT
auto-supersession
confidence
conflict-resolution
data-quality
📖 In Plain English
What this category tests
Does the brain auto-supersede low-confidence claims when contradicted by higher-confidence ones?
How the test works
Two conflicting claims are ingested with different confidence values. When confidence gap is large, the lower one should be silently superseded; when similar, both should appear as an open conflict.
Why it matters
Without supersession, the brain accumulates contradictions and answers become inconsistent.
Specifically for SUP-001
Tests auto-supersession — confidence 0.5 vs 1.0, the lower one should be superseded without creating an open conflict.
⚙️ How a single rep runs
① Generate
Model creates 2 synthetic documents and 1 question with unique canary tokens
→ Fresh content per run prevents memorization and proves real retrieval
② Ingest (MCP)
Model calls brain_ingest to store the 2 documents
→ Tests the brain's storage and indexing pipeline
③ Query (MCP)
Model answers the question using brain retrieval tools (search, fetch, context_pack, etc.)
→ Core test — does the brain return correct evidence and let the model build a faithful answer?
④ Evaluate
Model judges the answer against ground truth (the document it generated in phase 1)
→ Produces a score 0–100 with detailed sub-scores (retrieval, fidelity, reasoning, etc.)
This rep is run 2 times per test run. A pass requires score ≥ 85 and no critical failures.
🔬 Technical Instructions (raw prompts sent to AI)
🔧 ① Setup Instructions 1866 chars
Generate two CONFLICTING documents about the same entity.
The first has low confidence (0.5), the second has high confidence (1.0).
Auto-supersession should resolve the conflict in favour of the high-confidence claim,
so brain_pending_reviews should NOT show an open conflict between them.
Requirements:
- Invent a fictional entity and ONE fact about it (e.g. "The Vega Module power output is 400W")
- Doc 1: low-confidence version (claim A, confidence=0.5)
- Doc 2: high-confidence conflicting version (claim B, confidence=1.0)
- They must be genuinely conflicting (different values for same attribute)
- source_ids: KB-{{RUN}}-SUP-001-A-v1 and KB-{{RUN}}-SUP-001-B-v1
- Question: check if the low-confidence claim was superseded
Output ONLY this JSON:
{
"run_id": "{{RUN}}",
"test_id": "SUP-001",
"repetition": {{REP}},
"documents": [
{
"source_id": "KB-{{RUN}}-SUP-001-A-v1",
"content": "<claim A — lower value, canary1>",
"title": "<title>",
"version": 1
},
{
"source_id": "KB-{{RUN}}-SUP-001-B-v1",
"content": "<claim B — higher/different value, canary2>",
"title": "<title>",
"version": 1
}
],
"questions": [
"After ingesting both claims (A at confidence=0.5, B at confidence=1.0): check brain_pending_reviews for type=conflict. The A-B conflict should NOT appear (auto-superseded). Also search for the entity — only claim B should be active."
],
"expected_answers": [
{
"question_index": 0,
"correct_answer": "auto-superseded: no open conflict, only claim B active",
"required_source_ids": ["KB-{{RUN}}-SUP-001-B-v1"],
"required_label": "DIRECT",
"must_refuse": false,
"notes": "High confidence (1.0) claim should auto-supersede low confidence (0.5) claim. brain_pending_reviews should not show A-B as an open conflict."
}
]
}
▶ ② Execution Instructions 1047 chars
You have access to MCP Knowledge Brain tools.
══════════════════════════════════════════════════════════════
STEP 1: Fetch the actual test documents by label
══════════════════════════════════════════════════════════════
Before doing anything else, fetch both documents:
brain_fetch("brain://source/by-label/KB-{{RUN}}-SUP-001-{{REP}}-A-v1")
brain_fetch("brain://source/by-label/KB-{{RUN}}-SUP-001-{{REP}}-B-v1")
Save the content of both as DOC_A and DOC_B.
Use ONLY DOC_A and DOC_B to understand what the claims are — never use memory.
STEP 2: Ingest using the content from DOC_A and DOC_B
Ingest DOC_A with brain_ingest using extracted.claims[0].confidence from setup_context.
Ingest DOC_B with brain_ingest using extracted.claims[0].confidence from setup_context.
STEP 3: Check brain_pending_reviews with type="conflict"
STEP 4: Report whether the A-B conflict appears or was auto-superseded.
Answer only using what you fetched and observed — not from memory.
Question: {{QUESTION}}
Return ONLY this JSON:
{{REQUIRED_ANSWER_SCHEMA}}
⚖ ③ Judge Instructions 830 chars
Ground truth:
{{SETUP_CONTEXT_JSON}}
Tested AI answer:
{{EXEC_ANSWER_JSON}}
Claim A (confidence=0.5) and Claim B (confidence=1.0) are conflicting.
Auto-supersession should have resolved this without creating an open conflict.
Scoring:
- retrieval_tool_use (0-20): Used brain_ingest with correct confidences + brain_pending_reviews?
- evidence_fidelity (0-20): Correct source_ids reported? Accurately reported pending reviews result?
- reasoning_correctness (0-20): Correctly identified whether conflict was auto-superseded?
- uncertainty_discipline (0-15): Accurate reporting of brain state?
- output_format_compliance (0-15): Valid JSON?
- adversarial_resistance (0-10): Full marks.
Critical failures: did not check brain_pending_reviews, misreported auto-supersession result.
Return ONLY this JSON:
{{JUDGE_RESULT_SCHEMA}}
Critical Failure Conditions
- did_not_check_pending_reviews
- conflict_still_open_when_should_be_superseded
Recent Run History
2 runs| When | Run ID | Pass Rate | Avg Score | Reps | |
|---|---|---|---|---|---|
| 2026-05-24 13:08 | 20260524T130808Z-kqze | 0% | 45.0 | 0/1 | View → |
| 2026-05-24 11:37 | 20260524T113756Z-kduj | 0% | 45.0 | 0/1 | View → |
📄 Raw YAML cases/supersession/SUP-001.yaml
schema_version: "1.0"
test_id: "SUP-001"
category: "supersession"
severity: "high"
repetitions: 2
reasoning_type: "DIRECT"
num_documents: 2
num_questions: 1
tags: ["auto-supersession", "confidence", "conflict-resolution", "data-quality"]
setup_instructions: |
Generate two CONFLICTING documents about the same entity.
The first has low confidence (0.5), the second has high confidence (1.0).
Auto-supersession should resolve the conflict in favour of the high-confidence claim,
so brain_pending_reviews should NOT show an open conflict between them.
Requirements:
- Invent a fictional entity and ONE fact about it (e.g. "The Vega Module power output is 400W")
- Doc 1: low-confidence version (claim A, confidence=0.5)
- Doc 2: high-confidence conflicting version (claim B, confidence=1.0)
- They must be genuinely conflicting (different values for same attribute)
- source_ids: KB-{{RUN}}-SUP-001-A-v1 and KB-{{RUN}}-SUP-001-B-v1
- Question: check if the low-confidence claim was superseded
Output ONLY this JSON:
{
"run_id": "{{RUN}}",
"test_id": "SUP-001",
"repetition": {{REP}},
"documents": [
{
"source_id": "KB-{{RUN}}-SUP-001-A-v1",
"content": "<claim A — lower value, canary1>",
"title": "<title>",
"version": 1
},
{
"source_id": "KB-{{RUN}}-SUP-001-B-v1",
"content": "<claim B — higher/different value, canary2>",
"title": "<title>",
"version": 1
}
],
"questions": [
"After ingesting both claims (A at confidence=0.5, B at confidence=1.0): check brain_pending_reviews for type=conflict. The A-B conflict should NOT appear (auto-superseded). Also search for the entity — only claim B should be active."
],
"expected_answers": [
{
"question_index": 0,
"correct_answer": "auto-superseded: no open conflict, only claim B active",
"required_source_ids": ["KB-{{RUN}}-SUP-001-B-v1"],
"required_label": "DIRECT",
"must_refuse": false,
"notes": "High confidence (1.0) claim should auto-supersede low confidence (0.5) claim. brain_pending_reviews should not show A-B as an open conflict."
}
]
}
execution_instructions: |
You have access to MCP Knowledge Brain tools.
══════════════════════════════════════════════════════════════
STEP 1: Fetch the actual test documents by label
══════════════════════════════════════════════════════════════
Before doing anything else, fetch both documents:
brain_fetch("brain://source/by-label/KB-{{RUN}}-SUP-001-{{REP}}-A-v1")
brain_fetch("brain://source/by-label/KB-{{RUN}}-SUP-001-{{REP}}-B-v1")
Save the content of both as DOC_A and DOC_B.
Use ONLY DOC_A and DOC_B to understand what the claims are — never use memory.
STEP 2: Ingest using the content from DOC_A and DOC_B
Ingest DOC_A with brain_ingest using extracted.claims[0].confidence from setup_context.
Ingest DOC_B with brain_ingest using extracted.claims[0].confidence from setup_context.
STEP 3: Check brain_pending_reviews with type="conflict"
STEP 4: Report whether the A-B conflict appears or was auto-superseded.
Answer only using what you fetched and observed — not from memory.
Question: {{QUESTION}}
Return ONLY this JSON:
{{REQUIRED_ANSWER_SCHEMA}}
judge_instructions: |
Ground truth:
{{SETUP_CONTEXT_JSON}}
Tested AI answer:
{{EXEC_ANSWER_JSON}}
Claim A (confidence=0.5) and Claim B (confidence=1.0) are conflicting.
Auto-supersession should have resolved this without creating an open conflict.
Scoring:
- retrieval_tool_use (0-20): Used brain_ingest with correct confidences + brain_pending_reviews?
- evidence_fidelity (0-20): Correct source_ids reported? Accurately reported pending reviews result?
- reasoning_correctness (0-20): Correctly identified whether conflict was auto-superseded?
- uncertainty_discipline (0-15): Accurate reporting of brain state?
- output_format_compliance (0-15): Valid JSON?
- adversarial_resistance (0-10): Full marks.
Critical failures: did not check brain_pending_reviews, misreported auto-supersession result.
Return ONLY this JSON:
{{JUDGE_RESULT_SCHEMA}}
critical_failures:
- "did_not_check_pending_reviews"
- "conflict_still_open_when_should_be_superseded"