← Back to matrix · All model evidence for this question
piq47v2_balanced_rows × Phi-3 Medium ✗ FAIL
BENCHMARK QUESTION
Question ID
piq47v2_balanced_rowsPrompt
Each row has the same sum. The rows are [2, 5, 7], [3, 4, 7], [6, 1, ?]. What is missing?Options
—Tags
[ "logic_grid", "hard" ]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
7Evaluation rule type
normalized_exactRaw evaluation rule
{
"expected": 7,
"type": "normalized_exact"
}CANDIDATE / MODEL OBSERVATION
Model display name
Phi-3 MediumModel ID
phi3-medium-4kRaw model response
8Execution 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": "8",
"expected_normalized": "7"
}EXECUTION EVIDENCE
effective_candidate_prompt
Each row has the same sum. The rows are [2, 5, 7], [3, 4, 7], [6, 1, ?]. What is missing? Return only the final answer. Do not include explanation or reasoning. Return only the final answer. Do not include explanation.benchmark_prompt
Each row has the same sum. The rows are [2, 5, 7], [3, 4, 7], [6, 1, ?]. What is missing?latency_ms
84.36287900258321usage
{
"input_tokens": 71,
"output_tokens": 3
}provider_metadata{
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 84.08730999508407,
"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": 27995448832,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
}timestamp2026-08-25T18:08:58.546134+00:00response_id
6fd5cc050e70410e965ecb6681b1eee4run_id
9a35308f3b214208b75b57f61731957fExecution error
—Run artifact directory
runs/pattern-iq/phi-3-mediumRaw stored response
{
"benchmark_prompt": "Each row has the same sum. The rows are [2, 5, 7], [3, 4, 7], [6, 1, ?]. What is missing?",
"effective_candidate_prompt": "Each row has the same sum. The rows are [2, 5, 7], [3, 4, 7], [6, 1, ?]. What 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": 84.36287900258321,
"model_id": "phi3-medium-4k",
"provider_metadata": {
"adapter": "transformers_local",
"cuda_version": "12.8",
"device": "cuda",
"dtype": "auto",
"generation_latency_ms": 84.08730999508407,
"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": 27995448832,
"provider": "transformers_local",
"torch_version": "2.9.0+cu128",
"transformers_version": "4.51.3"
},
"question_id": "piq47v2_balanced_rows",
"response_id": "6fd5cc050e70410e965ecb6681b1eee4",
"run_id": "9a35308f3b214208b75b57f61731957f",
"structured_output": null,
"text": "8",
"timestamp": "2026-08-25T18:08:58.546134+00:00",
"usage": {
"input_tokens": 71,
"output_tokens": 3
}
}Raw stored evaluation{
"conclusive": true,
"error": null,
"evaluator_name": "pegasus.normalized_exact",
"evaluator_version": "1",
"evidence": {
"actual_normalized": "8",
"expected_normalized": "7"
},
"gate_status": "fail",
"reason": "deterministic rule conclusively not satisfied",
"response_id": "6fd5cc050e70410e965ecb6681b1eee4",
"rule_type": "normalized_exact",
"score": 0.0,
"status": "failed"
}