LLM calls

time

2026-10-01 04:15:31

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

3.31

prompt_tokens

1076

completion_tokens

264

cost_usd

0.004792

finish_reason

stop

json_error

False

review_verdict

review_note

call_id

f0de7f5a-eae2-4e79-8b4f-939e141fff75

Answer

{
  "why": "None of the candidates matches the downloaded event. The downloaded event is the Всероссийские соревнования \"Лед Мечты\" среди юниоров, 2026-09-24 to 09-28. The candidate names are different tournaments: Navka Cup, Grinkov Memorial, Saint Petersburg Cup Stage 2, Gorshkov Memorial and Moscow Championships. Saint Petersburg Cup Stage 2 starts on the same date (09-24), but it is a regional cup with a different name and no other evidence links it to the downloaded event. The other candidates start on different dates (09-19, 10-01, 10-05). The only evidence given for any candidate is date proximity and country, which is not enough to identify a match.",
  "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": 0.004792,
  "is_byok": false,
  "cost_details": {
    "upstream_inference_cost": 0.004792,
    "upstream_inference_prompt_cost": 0.002152,
    "upstream_inference_completions_cost": 0.00264
  },
  "total_tokens": 1340,
  "prompt_tokens": 1076,
  "completion_tokens": 264,
  "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
  }
}