correlator: give the LLM tier what it needs to link, stop it defaulting to "new" (server-26#115)

The 2026-09-07 measurement window (CORRELATION_REVIEW_0907.md) showed the
consensus tiebreaker was the dominant over-split driver: it ran on 45% of
calls and resolved link/orphan disagreements as "new" ~24/25 of the time,
shattering one Mohegan Park car-alarm job into 9 incidents and opening ~7
incidents from radio checks / roll calls.

Two causes, two fixes:

1. `_inc_summary` gave the model `id|type|loc|units|tags|idle` — no title,
   no talkgroup. It literally could not see that two "car alarms, Mohegan
   Park Ave/Avenue" incidents on TG 9560 were the same. Now includes the
   incident title (the strongest same-event signal) and talkgroup.

2. `_RULES` told the model "orphan when in doubt — conservative is always
   correct". For a system that over-splits, that is backwards: a wrong link
   is cheap, a duplicate incident is the failure. Rewritten to: prefer link
   for a plausible same-talkgroup continuation (low bar), reserve "new" for a
   genuinely different event, and explicitly "orphan" non-incidents (radio
   checks, roll call, 10-8/10-98, mileage logs).

Plus `_extract_road_ids` now canonicalises street-type synonyms
(Avenue→ave, Street→st, Road→rd, ...), so "Mohegan Park Avenue" and
"Mohegan Park Ave" share a road id — that one difference was splitting the
car-alarm incident.

+tests/test_correlator_115.py. Full c2-core suite green (sandboxed venv).
Bigger levers deferred to follow-ups: the consensus escalation itself (should
a cheap-LLM "orphan" ever reach a tiebreak?), a first-class road-overlap fit
signal in _call_fits_incident, geocode coverage.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
Logan Cusano
2026-09-07 16:53:03 -04:00
co-authored by Claude Sonnet 5
parent 0712e7a437
commit 3a944f35c1
3 changed files with 103 additions and 10 deletions
@@ -108,16 +108,31 @@ _ROAD_RE = re.compile(
) )
# Street-type synonyms collapsed to one token so "Mohegan Park Avenue" and
# "Mohegan Park Ave" produce the same road id (server-26#115 — that one
# difference was splitting a car-alarm incident into two).
_ROAD_SUFFIX_CANON = {
"avenue": "ave", "street": "st", "road": "rd", "drive": "dr",
"boulevard": "blvd", "lane": "ln", "court": "ct", "place": "pl",
"highway": "hwy", "parkway": "pkwy",
}
def _extract_road_ids(text: str) -> set[str]: def _extract_road_ids(text: str) -> set[str]:
""" """
Extract normalised road/route identifiers from a location string. Extract normalised road/route identifiers from a location string.
e.g. "suspect east on Route 202" → {"route 202"} e.g. "suspect east on Route 202" → {"route 202"}
"at Main Street and Oak Ave" → {"main street", "oak ave"} "at Main Street and Oak Ave" → {"main st", "oak ave"}
""" """
return { ids: set[str] = set()
re.sub(r"[\s.\-]+", " ", m.group().lower()).strip() for m in _ROAD_RE.finditer(text):
for m in _ROAD_RE.finditer(text) key = re.sub(r"[\s.\-]+", " ", m.group().lower()).strip()
} parts = key.split()
if parts and parts[-1] in _ROAD_SUFFIX_CANON:
parts[-1] = _ROAD_SUFFIX_CANON[parts[-1]]
key = " ".join(parts)
ids.add(key)
return ids
def _location_mentions_road_overlap(new_location: str, inc_mentions: list[str]) -> bool: def _location_mentions_road_overlap(new_location: str, inc_mentions: list[str]) -> bool:
+29 -5
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@@ -45,7 +45,18 @@ def _fmt_idle(inc: dict, now: datetime) -> str:
def _inc_summary(inc: dict, now: datetime) -> str: def _inc_summary(inc: dict, now: datetime) -> str:
# server-26#115: the model was given no title and no talkgroup, so it
# could not tell that "car alarms, Mohegan Park Ave" and "car alarms,
# Mohegan Park Avenue" on the same channel were one incident — it defaulted
# to "new". Title is the single strongest human-readable signal for "is
# this the same event"; talkgroup is what makes same-channel continuation
# obvious.
parts = [f"id:{inc['incident_id']}", f"type:{inc.get('type') or '?'}"] parts = [f"id:{inc['incident_id']}", f"type:{inc.get('type') or '?'}"]
tgs = inc.get("talkgroup_ids") or []
if tgs:
parts.append(f"tg:[{', '.join(str(t) for t in tgs[:3])}]")
if inc.get("title"):
parts.append(f"title:{inc['title']!r}")
if inc.get("location"): if inc.get("location"):
parts.append(f"loc:{inc['location']}") parts.append(f"loc:{inc['location']}")
units = inc.get("units") or [] units = inc.get("units") or []
@@ -88,11 +99,24 @@ def _call_block(ctx: dict) -> str:
_SCHEMA = '{"action": "link" | "new" | "orphan", "incident_id": "<id_string or null>", "reasoning": "<one sentence>"}' _SCHEMA = '{"action": "link" | "new" | "orphan", "incident_id": "<id_string or null>", "reasoning": "<one sentence>"}'
_RULES = """ _RULES = """
Rules: Rules (this system OVER-SPLITS — a real incident routinely gets shattered into
- "link" only with clear positive evidence: same units, same geocoded location, or semantically identical scene on the same talkgroup within the last few minutes. 5-10 duplicates. A wrong link is cheap; a duplicate incident is the failure
- A call on a DIFFERENT talkgroup than an incident requires unit overlap or geocoded location match — topic similarity alone is not enough. mode. Bias accordingly.):
- "new" only if the call has a clear incident_type AND describes a distinct, identifiable scene. - Prefer "link" when the call plausibly continues a recent incident ON THE SAME
- "orphan" when in doubt — conservative is always correct. TALKGROUP: same or overlapping units, the same or an adjacent location (treat
"Ave"/"Avenue", "St"/"Street", "Rd"/"Road" as identical; a house number plus
the same street is the same place), the same subject/vehicle/case number, or a
follow-up beat ("units clearing", "negative contact", "tow en route", "event
number 214-201", a status update) to an incident that is only a few minutes
idle. The bar for "link" on the same talkgroup is LOW.
- Reserve "new" for a call that clearly describes a DIFFERENT event from every
recent incident — a different place, different units, and a different subject,
not merely a different transmission about the same job.
- "orphan" a call that is not an incident at all: radio checks, roll call,
a unit marking on/off duty or 10-8/10-98, mileage/log entries, a bare
acknowledgement. Do not open a "new" incident for these.
- A call on a DIFFERENT talkgroup than an incident still requires unit overlap
or a geocoded/location match — topic similarity alone is not enough there.
- Do NOT link just because both calls involve police or both mention a road. - Do NOT link just because both calls involve police or both mention a road.
""" """
+54
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@@ -0,0 +1,54 @@
"""
server-26#115 — the tiebreaker manufactured incidents because it was blind to
what would tell it two incidents are one.
Two low-risk supports for the reframed prompt:
1. `_extract_road_ids` collapses street-type synonyms, so "Mohegan Park Ave"
and "Mohegan Park Avenue" share a road id (they were splitting one
car-alarm incident into two).
2. `_inc_summary` now carries the incident title and talkgroup, the two
signals the model needs to recognise a same-channel continuation.
"""
from datetime import datetime, timezone
from app.internal.incident_correlator import (
_extract_road_ids, _location_mentions_road_overlap,
)
from app.internal.llm_correlator import _inc_summary
NOW = datetime(2026, 9, 7, 8, 0, 0, tzinfo=timezone.utc)
def test_avenue_and_ave_are_the_same_road_id():
assert _extract_road_ids("Mohegan Park Avenue") == _extract_road_ids("Mohegan Park Ave")
assert _extract_road_ids("191 Broadway Street") == _extract_road_ids("191 Broadway St")
assert _extract_road_ids("North State Road") == _extract_road_ids("North State Rd")
def test_road_overlap_matches_across_the_synonym():
assert _location_mentions_road_overlap("multiple car alarms Mohegan Park Avenue",
["patrol to Mohegan Park Ave"]) is True
# still discriminates genuinely different streets
assert _location_mentions_road_overlap("Oak Avenue", ["Elm Avenue"]) is False
def test_inc_summary_carries_title_and_talkgroup():
s = _inc_summary({
"incident_id": "abc123",
"type": "police",
"talkgroup_ids": [9560],
"title": "Nuisance Alarm at Mohegan Park Ave",
"location": "Mohegan Park Ave",
"units": ["Headquarters"],
"tags": ["car-alarm"],
"updated_at": NOW.isoformat(),
}, NOW)
assert "title:'Nuisance Alarm at Mohegan Park Ave'" in s
assert "tg:[9560]" in s
assert "id:abc123" in s
def test_inc_summary_omits_missing_optional_fields():
s = _inc_summary({"incident_id": "x", "updated_at": NOW.isoformat()}, NOW)
assert "title:" not in s and "tg:" not in s and "loc:" not in s
assert s.startswith("id:x")