Mohammed Teto · Authority Explorer
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Review organizational evidence before strengthening a claim

Business question

An organization wants its public description to emphasize expertise, international reach and a publication record. Which assertions have reviewed corroboration, which rely on the organization's own material, and which should be withheld until evidence is collected?

Teaching scenario

Entirely fictional: Cedar Notes says it published a multilingual reading-journal series and operates offices on three continents. The register also contains a separate claim about Alex Rowan chairing a fictional forum, so the example demonstrates how a contradiction is preserved.

There are three claims and six invented reviewer declarations. Publishers, relationships, support labels, dates and notes are supplied inputs. No source page is fetched or independently verified by the mapper.

Run the exact example

From examples/fictional-workflow/ in a fresh repository copy:

python3 tools/authority-evidence-mapper/map_evidence.py --claims inputs/claims.csv --evidence inputs/evidence.csv --as-of 2026-11-01 --output-dir reports/evidence

Open reports/evidence/report.html; JSON and CSV outputs preserve the review details. Run locally without packages, API keys or network calls.

Read the organizational claims

These outcomes describe input declarations. They neither prove that an assertion is true nor determine which conflicting source is correct. The age threshold refers to a recorded access date; it is not a universal expiry rule for evidence.

Make the review decision

Adapt the source strategy

The International Reputation Source Map provides real public entry points, not verified evidence for Cedar Notes. Choose sources relevant to the exact claim and jurisdiction. Record access conditions and scope; legal existence, a publication identifier or a directory presence does not establish general prestige or commercial success.

Next step

Translate only approved, visibly supported identity and publication relationships into structured data. Then use the multilingual citation tutorial to inspect supplied answers under defined conditions. Neither the evidence register nor a clean JSON-LD report measures actual AI visibility.

Interactive evidence view · Mapper and releases · Input claims