LLM calls

time

2026-10-01 05:01:59

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

3.92

prompt_tokens

1076

completion_tokens

305

cost_usd

0.005202

finish_reason

stop

json_error

False

review_verdict

review_note

call_id

51dd6d45-be27-4bf2-a3c5-37db32edaa8b

Answer

{
  "why": "None of the candidates matches the downloaded event. Its name is 'Всероссийские соревнования \"Лед Мечты\" среди юниоров' (code 1etap_jun), starting 2026-09-24. The candidates are the Navka Cup, the Grinkov Memorial, the Saint Petersburg Cup Stage 2, the Gorshkov Memorial and the Moscow Championships. Their names are all different, and the only evidence for each is a date within ±7 days in the same country. The Saint Petersburg Cup Stage 2 shares the 2026-09-24 start date, but it is a regional cup with a different name, so the date alone is not enough to call it the same event. The Gorshkov Memorial is also a Всероссийские juniors event, but its name and its 2026-10-05 date differ. No candidate 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": 0.005202,
  "is_byok": false,
  "cost_details": {
    "upstream_inference_cost": 0.005202,
    "upstream_inference_prompt_cost": 0.002152,
    "upstream_inference_completions_cost": 0.00305
  },
  "total_tokens": 1381,
  "prompt_tokens": 1076,
  "completion_tokens": 305,
  "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
  }
}