section_classifications
Section classifications (model)
One row per label a model assigned to one section of one printing. vocabulary_hash is a digest over the sealed label list, so a vocabulary change is visible in the data rather than silently reinterpreting old rows. All columns are stored as VARCHAR.
Coverage. Empty by owner decision 34: written only by a language model during bill-family runs, which no scheduled run enables, so no row is produced. (measured 2026-10-03)
- Parquet file:
section_classifications.parquet - MCP
query_sqlsupport: Configured; requires an available artifact. - Publication status: Not established by this schema page or its measurement date.
- Row count: Not stated here; the MCP
describe_tablereply gives the live count underpublication.
| Column | Type | Description |
|---|---|---|
bill_id |
VARCHAR |
The bill whose section was classified. |
version_code |
VARCHAR |
The printing whose section was classified. |
source |
VARCHAR |
Which acquisition path supplied that printing; without it an XML row and its PDF twin collide. |
seq |
VARCHAR |
The classified section's bill_sections seq, its key within the printing. |
match_path |
VARCHAR |
The section's normalized cross-version key, unit-separator joined. |
body_index |
VARCHAR |
Which body element the section came from. |
label |
VARCHAR |
One of the five sealed classification labels. |
confidence |
VARCHAR |
The model's own confidence, checked to be between 0 and 1 before it was stored. |
model |
VARCHAR |
The model id the call was made against. |
prompt_version |
VARCHAR |
The prompt version the label was produced under. |
prompt_hash |
VARCHAR |
Digest of the exact prompt sent, spelled sha256: plus the hex digest, so a prompt edit is visible per row. |
batch_index |
VARCHAR |
Which batch of the run this section belonged to. |
requested_at |
VARCHAR |
When the call was made. |
completed_at |
VARCHAR |
When the answer came back; the merge prefers the larger value. |
vocabulary_hash |
VARCHAR |
Digest over the sealed label table, so a vocabulary change is visible in the data. |