{
  "schema_version": "1.0.0",
  "taxonomy_version": "1.0.0",
  "evidence_build": "prepared-training-data full build, OpenPII revision a785eb528e28be2693c3718a27e066970de5dadb",
  "thresholds": {
    "model_trained_min_entities": 10000,
    "experimental_min_entities": 100
  },
  "tiers": {
    "model_trained": {
      "description": "Sufficient span evidence to train and evaluate a contextual head.",
      "types": {
        "PERSON_NAME": 1569634,
        "DATE_TIME": 1419959,
        "EMAIL_ADDRESS": 881037,
        "CITY": 824794,
        "STREET_ADDRESS": 774697,
        "GOVERNMENT_ID": 668691,
        "PHONE_NUMBER": 660835,
        "AGE": 588563,
        "POSTAL_CODE": 506110,
        "PAYMENT_CARD_NUMBER": 374410,
        "DRIVER_LICENSE_NUMBER": 328122,
        "TAX_ID": 308681,
        "PASSPORT_NUMBER": 239124
      }
    },
    "experimental": {
      "description": "Some evidence but below the training threshold. Served only when the caller opts into experimental types.",
      "types": {
        "URL": 262,
        "COUNTRY": 214,
        "USERNAME": 101
      }
    },
    "rule_only": {
      "description": "Deterministic format or checksum detection. Excluded from the model label set by design, not by lack of data.",
      "types": {
        "IBAN": 1,
        "SWIFT_BIC": 1,
        "CRYPTO_WALLET": 1,
        "MAC_ADDRESS": 2,
        "IP_ADDRESS": 20,
        "GEO_COORDINATES": 1,
        "VEHICLE_IDENTIFIER": 1,
        "DEVICE_IDENTIFIER": 1,
        "AADHAAR_NUMBER": 1,
        "FAX_NUMBER": 1,
        "SOCIAL_SECURITY_NUMBER": 1
      }
    },
    "blocked": {
      "description": "Context-dependent types that need annotated data before they can be claimed. Sources are gated or not yet generated.",
      "types": {
        "MEDICAL_RECORD_NUMBER": 1,
        "HEALTH_PLAN_ID": 1,
        "PROVIDER_ID": 1,
        "DATE_OF_BIRTH": 1,
        "ADDRESS": 1,
        "COUNTY_DISTRICT": 1,
        "STATE_PROVINCE": 1,
        "LICENSE_PLATE": 1,
        "VOTER_ID": 1,
        "BIOMETRIC_IDENTIFIER": 1,
        "BANK_ACCOUNT_NUMBER": 47,
        "OTHER_UNIQUE_ID": 3
      }
    }
  },
  "training_notes": [
    "The model label set is exactly the model_trained tier; experimental types may be added only behind an explicit flag.",
    "Entities whose type is not in the model label set must be loss-masked, never relabelled as O. Relabelling teaches the model to suppress spans that rule recognizers are expected to find.",
    "DATE_TIME is trained as a generic date. DATE_OF_BIRTH stays blocked because the source DATE label carries no birth-date distinction.",
    "GOVERNMENT_ID aggregates the source IDCARDNUM and SOCIALNUM labels and is not country-specific; subtype assignment belongs to locale recognizers.",
    "SOCIAL_SECURITY_NUMBER is rule-only: 97% of the source SOCIALNUM occurrences are non-US, so the US-specific type cannot be learned from that label."
  ]
}