card refresh: curation and review fixes
Browse files
README.md
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@@ -193,6 +193,31 @@ an existence proof. Demo-grade: no auth, no SLA. Reference:
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curl "https://mcp.openballast.org/lookup?question=Where+was+Douglas+Adams+born%3F&level=5"
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```
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## Limitations
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- **Coverage follows notability.** The rank composite (sitelinks + claim
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curl "https://mcp.openballast.org/lookup?question=Where+was+Douglas+Adams+born%3F&level=5"
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```
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## Curation & processing
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This is not a Wikidata mirror — it is a curated, serving-shaped derivation.
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What was done to the dump, in order:
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1. **Inclusion.** Every item with a resolvable English label (`mul`
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honored with English fallback). Wikimedia-internal pages (categories,
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templates, disambiguation scaffolding) filtered by `instance of`.
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2. **Statement filtering.** External identifiers, media references, and
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URL datatypes are dropped at publish — they ground nothing a language
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model can answer with. What remains is the answerable slice:
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entity-, time-, quantity-, string-, and coordinate-valued statements.
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3. **Ranking.** Each entity scored by a composite of log(sitelinks) +
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log(claim count) and assigned to 8 nested buckets at fixed population
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fractions. The rank axis is the product: it turns knowledge-per-byte
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into a download-time decision, which no raw dump or existing mirror
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offers.
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4. **Rendering contract.** The published measurements were made against a
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fixed evidence rendering (the `Facts about X:` block above) over these
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exact bytes; truncation semantics (entity-outside-level, object-drop)
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are preserved end-to-end in every distribution format. That
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measurement anchoring — the corpus is the artifact the numbers were
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measured on, versioned together — is the second thing a mirror does
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not give you.
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## Limitations
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- **Coverage follows notability.** The rank composite (sitelinks + claim
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