{"instance_id": "locomo_conv-50_q086", "cell": "no-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 21950, "prompt_tokens": 480, "completion_tokens": 763, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F4\",\n  \"rationale\": \"The model claims the sport is surfing, which is a fabricated claim that does not appear in the ground-truth context mentioning skiing and a snowy mountain.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model claims the sport is surfing, which is a fabricated claim that does not appear in the ground-truth context mentioning skiing and a snowy mountain."}
{"instance_id": "locomo_conv-26_q059", "cell": "no-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 8921, "prompt_tokens": 568, "completion_tokens": 291, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F1\",\n  \"rationale\": \"The model explicitly refuses to answer by stating it cannot be determined without context, rather than providing the ground-truth assessment of her religiosity.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly refuses to answer by stating it cannot be determined without context, rather than providing the ground-truth assessment of her religiosity."}
{"instance_id": "locomo_conv-44_q000", "cell": "no-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 6323, "prompt_tokens": 443, "completion_tokens": 248, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F4\",\n  \"rationale\": \"The model's answer of 1954 relies on a date that does not appear in the ground-truth context and is therefore fabricated.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model's answer of 1954 relies on a date that does not appear in the ground-truth context and is therefore fabricated."}
{"instance_id": "locomo_conv-41_q080", "cell": "no-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 10981, "prompt_tokens": 494, "completion_tokens": 445, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F4\",\n  \"rationale\": \"The model's answer 'A wind chime' relies on a fabricated claim that does not appear in the ground-truth context, which states she made a painting of a castle on a hill.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model's answer 'A wind chime' relies on a fabricated claim that does not appear in the ground-truth context, which states she made a painting of a castle on a hill."}
{"instance_id": "locomo_conv-50_q086", "cell": "oracle-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 5692, "prompt_tokens": 480, "completion_tokens": 110, "raw_text": "```json\n{\n  \"verdict\": \"correct\",\n  \"failure_mode\": null,\n  \"rationale\": \"The model's answer exactly matches the ground-truth answer of skiing.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer exactly matches the ground-truth answer of skiing."}
{"instance_id": "locomo_conv-26_q059", "cell": "oracle-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 30977, "prompt_tokens": 564, "completion_tokens": 1024, "raw_text": "The question asks whether Caroline would be considered religious.\nThe ground-truth answer is \"Somewhat, but not extremely religious\".\nThe model's answer is \"Yes\".\n\nThe model's answer \"Yes\" implies that Caroline is religious, but it misses the nuance that she is only \"somewhat, but not extremely religious\". By just saying \"Yes\", the model overstates her religiosity. The ground truth specifies a qualified \"somewhat\", whereas the model gives an unqualified affirmative.\n\nLet's check the failure modes:\n1. F1 (ABSTAIN): No.\n2. F5 (OFF-TOPIC): No.\n3. F4 (HALLUCINATED): No, it's derived from the context (she made a stained glass window for a church).\n4. F2 (PARTIAL): Does the model correctly state SOME required facts but miss others, without stating any incorrect facts? The model states she is religious (which is somewhat true), but misses the qualification \"not extremely\". However, \"Yes\" could be interpreted as stating an incorrect fact (that she is fully religious, not just somewhat). Let's look at F3.\n5. F3 (INCORRECT): Otherwise (model states facts derived from the context but gets them wrong).\n\nIs \"Yes\" a partial answer or an incorrect answer?\nGround truth: \"Somewhat, but not extremely religious\"\nModel: \"Yes\"\n\"Yes\" to \"Would Caroline be considered religious?\" is not entirely wrong, but it misses the nuance. It states a fact derived from the context but gets the degree wrong. Wait, if the question is \"Would Caroline be considered religious?\", \"Yes\" is a partial answer because it misses the \"not extremely\" part. Or is it incorrect because it asserts she is religious without the qualification?\nActually, saying \"Yes\" to \"Would she be considered religious?\" when the answer is \"Somewhat\" is getting the fact wrong/incomplete. F2 is for correctly stating SOME required facts but missing others. \"Yes\" captures the \"somewhat\" part but misses the \"not extremely\" part. Wait, \"Yes\" doesn't state the \"somewhat\" part, it just affirms the binary.\nLet's consider F3: \"model states facts derived from the context but gets them wrong\". The model gets the degree of her religiosity wrong.\nLet's consider F2: \"correctly state SOME required facts but miss others\". The required facts are \"Somewhat\" and \"not extremely\". The model states she is religious (somewhat), but misses the \"not extremely\" part.\nActually, \"Yes\" is an incorrect characterization of \"Somewhat, but not extremely\". If someone asks \"Are you religious?\" and the answer is \"Somewhat, but not extremely\", answering \"Yes\" is factually incorrect because it overstates the religiosity. So F3 might be more appropriate.\nWait, let's re-read F2: \"correctly state SOME required facts but miss others, without stating any incorrect facts\". Does \"Yes\" state an incorrect fact? \"Yes\" implies she is religious, which contradicts \"not extremely religious\" if taken as a strong affirmative. But it's a nuance.\nLet's look at F3: \"Otherwise (model states facts derived from the context but gets them wrong)\". The model gets the answer wrong by omitting the qualification.\nActually, \"Yes\" is a partial answer. It captures the \"somewhat\" but misses the \"not extremely\".\nWait, if the ground truth is \"Somewhat, but not extremely religious\", and the model says \"Yes\", the model is incorrect.\nIs it F2 or F3?\nIf I say \"Yes\", I am stating that she is religious. The ground truth says she is *somewhat* religious. Saying \"Yes\" is an overstatement, which is an incorrect claim. Therefore, it's not just missing facts, it's getting the fact wrong. So F3.\nLet's think if F2 applies. F2: correctly state SOME required facts but miss others. \"Yes\" doesn't explicitly state \"somewhat\". It just says \"Yes\".\nI will classify it as F3 (INCORRECT) because \"Yes\" misrepresents the degree of her religiosity, making it an incorrect answer rather than just a partial one. Or maybe F2 because it correctly identifies she has some religious connection but misses the qualification.\nActually, \"Yes\" is a very common way to answer \"Would she be considered religious?\" if she is somewhat religious. But the ground truth specifically says \"Somewhat, but not extremely\". \"Yes\" misses the entire nuance.\nLet's use F3 because the model gets the fact wrong (implies she is religious, rather than somewhat religious).\nWait, F2 says \"without stating any incorrect facts\". Does \"Yes\" state an incorrect fact? Yes, because she is not extremely religious, and \"Yes\" implies she is religious.\nLet's go with F3.", "parsed_verdict": null, "parsed_failure_mode": null, "parsed_rationale": null}
{"instance_id": "locomo_conv-44_q000", "cell": "oracle-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 5299, "prompt_tokens": 443, "completion_tokens": 134, "raw_text": "```json\n{\n  \"verdict\": \"correct\",\n  \"failure_mode\": null,\n  \"rationale\": \"The model's answer of 2020 exactly matches the ground-truth answer derived from the context (2023 - 3 years).\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer of 2020 exactly matches the ground-truth answer derived from the context (2023 - 3 years)."}
{"instance_id": "locomo_conv-41_q080", "cell": "oracle-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 8849, "prompt_tokens": 492, "completion_tokens": 291, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F2\",\n  \"rationale\": \"The model correctly identifies that Maria made a painting but omits the required details that it was a painting of a castle on a hill.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies that Maria made a painting but omits the required details that it was a painting of a castle on a hill."}
{"instance_id": "locomo_conv-50_q086", "cell": "full-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 4438, "prompt_tokens": 479, "completion_tokens": 107, "raw_text": "```json\n{\n  \"verdict\": \"correct\",\n  \"failure_mode\": null,\n  \"rationale\": \"The model's answer 'skiing' matches the ground-truth answer 'Skiing' exactly, differing only in capitalization.\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer 'skiing' matches the ground-truth answer 'Skiing' exactly, differing only in capitalization."}
{"instance_id": "locomo_conv-26_q059", "cell": "full-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 8270, "prompt_tokens": 564, "completion_tokens": 220, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F1\",\n  \"rationale\": \"The model explicitly states it does not know the answer rather than providing the ground-truth assessment that Caroline is somewhat, but not extremely religious.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly states it does not know the answer rather than providing the ground-truth assessment that Caroline is somewhat, but not extremely religious."}
{"instance_id": "locomo_conv-44_q000", "cell": "full-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 6452, "prompt_tokens": 443, "completion_tokens": 188, "raw_text": "```json\n{\n  \"verdict\": \"correct\",\n  \"failure_mode\": null,\n  \"rationale\": \"The model's answer of 2020 exactly matches the ground-truth answer derived from the context (2023 minus 3 years).\"\n}\n```", "parsed_verdict": "correct", "parsed_failure_mode": null, "parsed_rationale": "The model's answer of 2020 exactly matches the ground-truth answer derived from the context (2023 minus 3 years)."}
{"instance_id": "locomo_conv-41_q080", "cell": "full-context", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 7873, "prompt_tokens": 492, "completion_tokens": 339, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F2\",\n  \"rationale\": \"The model correctly identifies that Maria made a painting but misses the required details that it was a painting of a castle on a hill.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies that Maria made a painting but misses the required details that it was a painting of a castle on a hill."}
{"instance_id": "locomo_conv-50_q086", "cell": "retrieval", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 7401, "prompt_tokens": 479, "completion_tokens": 193, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F1\",\n  \"rationale\": \"The model claims the information is not mentioned, explicitly abstaining from answering, even though the context clearly indicates skiing.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model claims the information is not mentioned, explicitly abstaining from answering, even though the context clearly indicates skiing."}
{"instance_id": "locomo_conv-26_q059", "cell": "retrieval", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 16196, "prompt_tokens": 564, "completion_tokens": 430, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F3\",\n  \"rationale\": \"The model states 'No', which contradicts the ground truth that she is 'somewhat, but not extremely religious', thus getting the derived fact wrong.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F3", "parsed_rationale": "The model states 'No', which contradicts the ground truth that she is 'somewhat, but not extremely religious', thus getting the derived fact wrong."}
{"instance_id": "locomo_conv-44_q000", "cell": "retrieval", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 6454, "prompt_tokens": 443, "completion_tokens": 205, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F1\",\n  \"rationale\": \"The model explicitly states the information is not mentioned, failing to derive the year 2020 from the context (2023 minus 3 years).\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model explicitly states the information is not mentioned, failing to derive the year 2020 from the context (2023 minus 3 years)."}
{"instance_id": "locomo_conv-41_q080", "cell": "retrieval", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 11221, "prompt_tokens": 492, "completion_tokens": 341, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F2\",\n  \"rationale\": \"The model correctly states that Maria made a painting but misses the required details that it was a painting of a castle on a hill.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly states that Maria made a painting but misses the required details that it was a painting of a castle on a hill."}
{"instance_id": "locomo_conv-50_q086", "cell": "agentic", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 9421, "prompt_tokens": 489, "completion_tokens": 242, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F1\",\n  \"rationale\": \"The model failed to provide an answer, instead returning a system message indicating it reached the maximum tool turns, which constitutes an abstention.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model failed to provide an answer, instead returning a system message indicating it reached the maximum tool turns, which constitutes an abstention."}
{"instance_id": "locomo_conv-26_q059", "cell": "agentic", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 19790, "prompt_tokens": 597, "completion_tokens": 510, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F4\",\n  \"rationale\": \"The model's answer relies on fabricated details not present in the context, such as the necklace from Sweden, and mischaracterizes the stained glass window as a painting.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F4", "parsed_rationale": "The model's answer relies on fabricated details not present in the context, such as the necklace from Sweden, and mischaracterizes the stained glass window as a painting."}
{"instance_id": "locomo_conv-44_q000", "cell": "agentic", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 17473, "prompt_tokens": 453, "completion_tokens": 721, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F1\",\n  \"rationale\": \"The model failed to provide an answer to the question, instead returning a system message indicating it reached the maximum tool turns.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F1", "parsed_rationale": "The model failed to provide an answer to the question, instead returning a system message indicating it reached the maximum tool turns."}
{"instance_id": "locomo_conv-41_q080", "cell": "agentic", "provider": "zhipu", "model_id": "glm-5.1", "routing": "direct", "http_status": 200, "error": null, "retries": 0, "latency_ms": 8686, "prompt_tokens": 492, "completion_tokens": 339, "raw_text": "```json\n{\n  \"verdict\": \"incorrect\",\n  \"failure_mode\": \"F2\",\n  \"rationale\": \"The model correctly identifies that Maria made a painting but misses the required details that it was a painting of a castle on a hill.\"\n}\n```", "parsed_verdict": "incorrect", "parsed_failure_mode": "F2", "parsed_rationale": "The model correctly identifies that Maria made a painting but misses the required details that it was a painting of a castle on a hill."}