← Back to matrix · All model evidence for this question
piq23_logic_two_dimension × Phi-3 Medium ✗ FAIL
BENCHMARK QUESTION
Question ID
piq23_logic_two_dimensionPrompt
In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?Options
—Tags
[ "logic_grid", "medium" ]Difficulty
—Metadata
—Response contract
{
"instruction": "Return only the final answer. Do not include explanation.",
"mode": "short_answer"
}Question provenance—
GOLD / BENCHMARK TRUTH
Raw expected value
8Evaluation rule type
normalized_exactRaw evaluation rule
{
"expected": 8,
"type": "normalized_exact"
}CANDIDATE / MODEL OBSERVATION
Model display name
Phi-3 MediumModel ID
phi3-medium-4kRaw model response
10Execution status
successStructured output
—Model configuration
{
"adapter": "transformers_local",
"base_url": null,
"device": "cuda",
"dtype": "auto",
"extra_headers": {},
"generation": {
"do_sample": false
},
"id": "phi3-medium-4k",
"local_files_only": true,
"max_new_tokens": 32,
"model": "[local-model-path-redacted]/phi3-medium-4k",
"quantization_method": null,
"secret_env": null,
"supports_json_mode": false,
"timeout": 60
}EVALUATION RESULT
Result
FAILStored evaluation status
failedScore
0.0gate_status
failconclusive
trueevaluator_name
pegasus.normalized_exactevaluator_version
1rule_type
normalized_exactReason
deterministic rule conclusively not satisfiedEvaluator error
—
GRADER EVIDENCE
evaluation.evidence
{
"actual_normalized": "10",
"expected_normalized": "8"
}EXECUTION EVIDENCE
effective_candidate_prompt
In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing? Return only the final answer. Do not include explanation or reasoning. Return only the final answer. Do not include explanation.benchmark_prompt
In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?latency_ms
106.53082901262678usage
{
"input_tokens": 77,
"output_tokens": 4
}provider_metadata{
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 106.22355100349523,
"gpu_compute_capability": [
12,
0
],
"gpu_name": "NVIDIA GeForce RTX 5090",
"model": "[local-model-path-redacted]/phi3-medium-4k",
"model_load_ms": 112327.89194400539,
"peak_cuda_memory_allocated_bytes": 28000571904,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
}timestamp2026-08-25T18:08:55.810524+00:00response_id
d6e56a468a2d46d5a6bb37a7da824588run_id
9a35308f3b214208b75b57f61731957fExecution error
—Run artifact directory
runs/pattern-iq/phi-3-mediumRaw stored response
{
"benchmark_prompt": "In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?",
"effective_candidate_prompt": "In a 2x2 grid, top row is 2, 4; bottom row is 6, ?. Pattern: each row increases by 2, each column increases by 4. What number is missing?\n\nReturn only the final answer. Do not include explanation or reasoning.\n\nReturn only the final answer. Do not include explanation.",
"error": null,
"execution_status": "success",
"latency_ms": 106.53082901262678,
"model_id": "phi3-medium-4k",
"provider_metadata": {
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 106.22355100349523,
"gpu_compute_capability": [
12,
0
],
"gpu_name": "NVIDIA GeForce RTX 5090",
"model": "[local-model-path-redacted]/phi3-medium-4k",
"model_load_ms": 112327.89194400539,
"peak_cuda_memory_allocated_bytes": 28000571904,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
},
"question_id": "piq23_logic_two_dimension",
"response_id": "d6e56a468a2d46d5a6bb37a7da824588",
"run_id": "9a35308f3b214208b75b57f61731957f",
"structured_output": null,
"text": "10",
"timestamp": "2026-08-25T18:08:55.810524+00:00",
"usage": {
"input_tokens": 77,
"output_tokens": 4
}
}Raw stored evaluation{
"conclusive": true,
"error": null,
"evaluator_name": "pegasus.normalized_exact",
"evaluator_version": "1",
"evidence": {
"actual_normalized": "10",
"expected_normalized": "8"
},
"gate_status": "fail",
"reason": "deterministic rule conclusively not satisfied",
"response_id": "d6e56a468a2d46d5a6bb37a7da824588",
"rule_type": "normalized_exact",
"score": 0.0,
"status": "failed"
}