feat(ordo): wire the LMS preface column into the witness suite

Extends tools/extract_lms_ordo.ml's row type with a praef field (the
first "Pr of ..." / "Common Pr" match in each day's universal block,
same first-in-reading-order discipline already used for Gl/Cr) and
regenerates all three LMS fixtures. Also brings lms-ordo-2024-2025.sexp
under the generalised, probe-verified provenance template the Witnesses
task previously added only for the two newer editions -- it had kept
Task 6's original hand-written header.

Characterisation finding: this Ordo prints OPTION LISTS ("Pr of X or Pr
of Y or Common Pr"), not a single value per day, and several named
options (Martyrs, All Saints and Patron Saints, the Dedication of a
Church, the Most Holy Sacrament, St John the Baptist, the Angels) are
genuinely absent from RG 484-497's own fourteen named prefaces. Every
instance found in the universal block pairs such an extra with a
genuine RG-482 answer, so test/test_lms_ordo.ml compares by membership
(classify_praef_options, a 15-entry prefix table split on the
standalone token "or"), not string equality.

Opposite-prediction probes (Nativity/Apostles/Requiem) are hard-
verified inside the extractor itself before any fixture is trusted, the
same discipline already used for the Creed column.

Result: 396/396, 399/399, 398/398 comparable rows agree across the
three editions (Good Friday excluded per edition, no Mass that day),
zero allow-list entries needed.

extraordinaryform.org's own three editions were characterised but
deliberately not wired in this pass -- see
.superpowers/sdd/2026-08-21-colitur-celebrant-rubrics-phase1/preface-witnesses-report.md
for the full account (the field is genuinely per-day, contrary to a
naive header-count read, but carries its own classification anomaly
during Advent and reconfirms the corpus's known St Lawrence vigil
defect, and building a full extractor for it is a separate, comparably
large task not needed to decide the RG 497 question this same report
settles).

Claude-Session: https://claude.ai/code/session_017ZBxCCRM2ojnBupp3SBxV9

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