LLM calls

sportstatsdb.com pipelines
time
2026-10-01 04:08:29
pipeline
isu_pipeline
run
rus-2627-1etap_jun
step
4 event identity
object
rus-2627-1etap_jun
model_requested
anthropic/claude-sonnet-5.5
model_returned
anthropic/claude-sonnet-5.5
provider
Claude Platform on AWS
latency_s
3.47
prompt_tokens
1076
completion_tokens
253
cost_usd
0.004682
finish_reason
stop
json_error
False
review_verdict
review_note
call_id
e1bf6301-64d7-44ca-8bc6-fca4062afa29

Answer

{
  "why": "None of the candidates matches the downloaded event \"Лед Мечты\" (Ice of Dreams) juniors, 2026-09-24 to 09-28. The names differ: Navka Cup, Grinkov Memorial, Saint Petersburg Cup Stage 2, Gorshkov Memorial and Moscow Championships are all distinct competitions. The only candidate with the same start date is Saint Petersburg Cup Stage 2 (09-24), but its name is different and it is a city cup, not an All-Russian juniors event. The other candidates start on different dates (09-19, 10-01, 10-05). The dossier gives no evidence that any of them is the same tournament, so this is a new event.",
  "decision": "new",
  "duplicates": []
}

Task

Is the downloaded ISU event the same tournament as one of the candidate events already in the database? Options: a candidate id, 'new', 'unsure'.

Dossier

{
  "downloaded": {
    "name": "Всероссийские соревнования \"Лед Мечты\" среди юниоров",
    "title": "Всероссийские соревнования \"Лед Мечты\" среди юниоров",
    "code": "rus-2627-1etap_jun",
    "season": "2026/27",
    "dates": [
      "2026-09-24",
      "2026-09-28"
    ],
    "country": "RUS",
    "top3_scores": [
      237.65,
      221.2,
      220.15,
      201.73,
      198.16,
      197.23,
      175.98,
      175.28,
      163.47,
      179.77,
      159.37,
      148.46
    ]
  },
  "candidates": [
    {
      "event": [
        205178,
        "Кубок Олимпийской чемпионки Татьяны Навки",
        "Tatiana Navka Cup",
        "2026/27",
        "2026-09-19",
        "Москва",
        "national_other"
      ],
      "evidence": [
        "dates within ±7 days, same country"
      ]
    },
    {
      "event": [
        205179,
        "Всероссийские соревнования Памяти ОЧ С. Гринькова",
        "Grinkov Memorial",
        "2026/27",
        "2026-09-19",
        "Москва",
        "national_other"
      ],
      "evidence": [
        "dates within ±7 days, same country"
      ]
    },
    {
      "event": [
        205639,
        "Кубок Санкт-Петербурга, 2 этап",
        "Saint Petersburg Cup Stage 2",
        "2026/27",
        "2026-09-24",
        "Санкт-Петербург",
        "national_other"
      ],
      "evidence": [
        "dates within ±7 days, same country"
      ]
    },
    {
      "event": [
        207324,
        "Всероссийские соревнования \"Мемориал А.Г. Горшкова\" среди юниоров",
        "Gorshkov Memorial",
        "2026/27",
        "2026-10-05",
        "Москва",
        "national_other"
      ],
      "evidence": [
        "dates within ±7 days, same country"
      ]
    },
    {
      "event": [
        207326,
        "Чемпионат Москвы",
        "Moscow Championships",
        "2026/27",
        "2026-10-01",
        "Москва",
        "national_other"
      ],
      "evidence": [
        "dates within ±7 days, same country"
      ]
    }
  ]
}

System

You help maintain a figure skating results database. Decide strictly from the dossier. Choose only among the options given. If the evidence is insufficient, answer 'unsure'. Reply with a single JSON object: {"decision": <candidate id>|"new"|"unsure", "duplicates": [ids], "why": "..."} Output only the JSON object: no text before or after it, no Markdown, no code fences. Put all your reasoning into the "why" field.

Usage

{
  "cost": 0.004682,
  "is_byok": false,
  "cost_details": {
    "upstream_inference_cost": 0.004682,
    "upstream_inference_prompt_cost": 0.002152,
    "upstream_inference_completions_cost": 0.00253
  },
  "total_tokens": 1329,
  "prompt_tokens": 1076,
  "completion_tokens": 253,
  "prompt_tokens_details": {
    "audio_tokens": 0,
    "video_tokens": 0,
    "cached_tokens": 0,
    "cache_write_tokens": 0
  },
  "completion_tokens_details": {
    "audio_tokens": 0,
    "image_tokens": 0,
    "reasoning_tokens": 0
  }
}