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Fact Lookup

Look up facts about anything

Fact Lookup retrieves structured, verifiable facts about any person, place, company, or concept from a database of over 100 million entities. Ask about founding dates, population, headquarters, CEOs, coordinates, awards — and get authoritative answers with source references.

It goes beyond simple Q&A. The advanced query skill lets you run structured questions across the knowledge graph: list all Nobel Prize winners from a country, rank cities by population, find all subsidiaries of a company, or compare two entities on any shared property. Every answer traces back to a citable source.

What you can do

  • search — find entities by keyword and get their IDs, descriptions, and links
  • get_entity — retrieve up to 60 structured facts about any entity by name or ID
  • sparql_query — run advanced multi-entity queries for lists, rankings, and comparisons

Who it's for

Researchers, journalists, writers, developers building knowledge-enriched applications, and anyone who needs fast, citable answers to factual questions.

How to use it

  1. Call search with a keyword to find the right entity and get its ID.
  2. Call get_entity with the entity name or ID to get the full fact sheet.
  3. For more complex questions — "list the 10 most populous cities in Germany" — use sparql_query directly.

Getting started

Call get_entity with any well-known name — a city, company, or person — to see what structured data is available. No setup needed.

Search Entities

Search Wikidata entities by keyword. Returns matching entities with IDs, labels, descriptions, and links to Wikipedia and Wikidata.

Returns: List of matching Wikidata entities with ID, label, description, and URLs
Get Entity Facts

Get comprehensive structured facts about any entity. Accepts a name or Wikidata Q-ID. Returns up to 60 properties with values resolved to human-readable labels — population, founding date, coordinates, CEO, awards, and more.

Returns: Structured entity data with label, description, aliases, Wikipedia URL, and key facts resolved to readable values
SPARQL Query

Run a SPARQL query against Wikidata for complex multi-entity questions. Supports filtering, sorting, aggregation, and relationship traversal across 100M+ entities.

Returns: SPARQL query results as an array of row objects with column names as keys
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v0.022026-03-24
  • Renamed from knowledge-graph to fact-lookup for discoverability
v0.012026-03-24
  • Initial release with search, get_entity, and sparql_query skills

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Frequently Asked Questions

Do I search first, or can I ask directly for a fact?

Either works. `get_entity` accepts a plain name or Q-ID for common entities, while `search` helps you find the right entity first.

What kinds of facts come back?

`get_entity` returns up to 60 structured facts such as population, founding date, coordinates, website, CEO, and country.

When should I use SPARQL instead of `get_entity`?

Use `sparql_query` when you need lists, rankings, comparisons, or other multi-entity answers.

How do I keep the query reliable?

Start with `search` or `get_entity`, and include a label service plus `LIMIT` in SPARQL so the result stays readable.