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piq38v2_matrix_column_rule × GPT-4o-mini ✗ FAIL

BENCHMARK QUESTION

Question ID

piq38v2_matrix_column_rule

Prompt

In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. What is missing?

Options

—

GOLD / BENCHMARK TRUTH

Raw expected value

Evaluation rule type

normalized_exact

Raw evaluation rule

{
  "expected": 13,
  "type": "normalized_exact"
}

CANDIDATE / MODEL OBSERVATION

Model display name

GPT-4o-mini

Model ID

gpt-4o-mini

Raw model response

Execution status

success

Structured output

—

Model configuration

{
  "adapter": "openai_compatible",
  "base_url": "https://api.openai.com/v1",
  "device": null,
  "dtype": "auto",
  "extra_headers": {},
  "generation": {
    "temperature": 0
  },
  "id": "gpt-4o-mini",
  "local_files_only": false,
  "max_new_tokens": 512,
  "model": "gpt-4o-mini",
  "quantization_method": null,
  "secret_env": "OPENAI_API_KEY",
  "supports_json_mode": false,
  "timeout": 120
}

EVALUATION RESULT

Result

FAIL

Stored evaluation status

failed

Score

0.0

gate_status

fail

conclusive

true

evaluator_name

pegasus.normalized_exact

evaluator_version

rule_type

normalized_exact

Reason

deterministic rule conclusively not satisfied

Evaluator error

—

GRADER EVIDENCE

evaluation.evidence

{
  "actual_normalized": "11",
  "expected_normalized": "13"
}

EXECUTION EVIDENCE

effective_candidate_prompt

In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. 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

In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. What is missing?

latency_ms

562.1946120008943

usage

{
  "completion_tokens": 1,
  "completion_tokens_details": {
    "accepted_prediction_tokens": 0,
    "audio_tokens": 0,
    "reasoning_tokens": 0,
    "rejected_prediction_tokens": 0
  },
  "prompt_tokens": 85,
  "prompt_tokens_details": {
    "audio_tokens": 0,
    "cached_tokens": 0
  },
  "total_tokens": 86
}

provider_metadata

{
  "id": "chatcmpl-EGccySc11g1H6iPVj1ieKJCSmWwSQ",
  "model": "gpt-4o-mini-2024-07-18",
  "provider": "openai_compatible"
}

timestamp

2026-08-25T04:00:40.004361+00:00

response_id

5e8b7bb0169647e6b54df1d4fa9825ed

run_id

94854ffae4ff40ce9e4d2d22743f4771

Execution error

—

Run artifact directory

runs/pattern-iq/gpt-4o-mini

Raw stored response

{
  "benchmark_prompt": "In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. What is missing?",
  "effective_candidate_prompt": "In each column, the bottom number equals the top number plus the middle number. Top row: 2, 4, 6. Middle row: 3, 5, 7. Bottom row: 5, 9, ?. 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": 562.1946120008943,
  "model_id": "gpt-4o-mini",
  "provider_metadata": {
    "id": "chatcmpl-EGccySc11g1H6iPVj1ieKJCSmWwSQ",
    "model": "gpt-4o-mini-2024-07-18",
    "provider": "openai_compatible"
  },
  "question_id": "piq38v2_matrix_column_rule",
  "response_id": "5e8b7bb0169647e6b54df1d4fa9825ed",
  "run_id": "94854ffae4ff40ce9e4d2d22743f4771",
  "structured_output": null,
  "text": "11",
  "timestamp": "2026-08-25T04:00:40.004361+00:00",
  "usage": {
    "completion_tokens": 1,
    "completion_tokens_details": {
      "accepted_prediction_tokens": 0,
      "audio_tokens": 0,
      "reasoning_tokens": 0,
      "rejected_prediction_tokens": 0
    },
    "prompt_tokens": 85,
    "prompt_tokens_details": {
      "audio_tokens": 0,
      "cached_tokens": 0
    },
    "total_tokens": 86
  }
}

Raw stored evaluation

{
  "conclusive": true,
  "error": null,
  "evaluator_name": "pegasus.normalized_exact",
  "evaluator_version": "1",
  "evidence": {
    "actual_normalized": "11",
    "expected_normalized": "13"
  },
  "gate_status": "fail",
  "reason": "deterministic rule conclusively not satisfied",
  "response_id": "5e8b7bb0169647e6b54df1d4fa9825ed",
  "rule_type": "normalized_exact",
  "score": 0.0,
  "status": "failed"
}