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Glossary 📖

Domain terms explained in plain English. No jargon without explanation!


Core Concepts

Entity 🏷️

An entity is a thing in the database — like an item (Q1), property (P1), or lexeme (L1). It's identified by a unique ID but has no intrinsic state on its own.

Think of it like: A library book card with a call number, but no actual book content on it yet.

Examples: - Q1 = "Pizza" (item) - P1 = "has ingredient" (property)
- L1 = "cat" (lexeme)


Revision 📦

A revision is a complete snapshot of an entity at a specific point in time. Once created, it can never be changed — it's immutable.

Think of it like: Git commits. Each commit is a frozen snapshot of your code.

Why it matters: - Full audit trail (who changed what, when) - Easy rollbacks (just point to an old revision) - No data loss (old versions are never deleted)


Head Pointer 🎯

The head is the "latest" revision of an entity — the one you get by default when you query it.

Think of it like: The main branch in Git — it's a pointer to the most recent commit.


Entity Types

Item (Q) 📚

An item represents a thing — a concept, object, person, place, etc. Items are the bread and butter of Wikibase.

Examples: - Q42 = "Douglas Adams" - Q5 = "human" - Q11573 = "pizza"


Property (P) 🏗️

A property defines what kind of statement you can make. It's the "attribute name" in a key-value pair.

Think of it like: The column name in a spreadsheet.

Examples: - P31 = "instance of" (what kind of thing is it?) - P569 = "date of birth" (when was it born?) - P279 = "subclass of" (what category does it belong to?)

Properties have data types: - item — Points to another item - string — Plain text - time — Dates/times - quantity — Numbers with units - monolingualtext — Text in one language - And more...


Lexeme (L) 📖

A lexeme represents a word or phrase in a language — the lexical entry itself (not just the meaning).

Think of it like: A dictionary entry.

Parts of a lexeme: - Lemma — The base form (e.g., "run") - Lexical category — Noun, verb, adjective, etc. - Form — Specific variations (e.g., "running", "ran") - Sense — Meanings (e.g., "run fast" vs "run for office")


Statement Parts

Statement 📝

A statement is a piece of information about an entity — like "Pizza has ingredient cheese."

A statement consists of: 1. Property (P1 = "has ingredient") 2. Value (the thing it points to) 3. Optionally: references, qualifiers, rank


Value 💎

A value is the content of a statement — what the property points to.

Types: - Item value — Points to another entity (Q123) - String value — Plain text ("hello") - Time value — A date or timestamp - Quantity value — A number with optional unit - Monolingual text — Text + language ("pizza"@en) - Coordinate value — Lat/long coordinates - Wikibase item — Internal link to another Wikibase entity - URL — Web address - Math formula — Mathematical notation


Reference 📚

A reference is where a statement's information came from — the source.

Think of it like: A citation in an academic paper.

Example:

Statement: "Earth is round"
  └── Reference: "NASA.gov, 2024"


Qualifier ➕

A qualifier adds extra information to a statement, like when it applies or under what conditions.

Example:

Statement: "Population: 8.9 billion"
  └── Qualifier: "as of: 2024"
  └── Qualifier: "source: UN estimate"


Rank 📊

A rank indicates the preferred value when multiple statements exist for the same property:

  • Preferred — Best/current value
  • Normal — Regular value
  • Deprecated — Discouraged (still valid but not recommended)

Snak 🔀

A snak is the atomic unit of statement data — the property-value pair. The term comes from Wikidata's history (it's "SNak" vs "RNak" — Statement NoAKnowledge / Reference NoAKnowledge).

Think of it like: A single cell in a spreadsheet — the intersection of a row (property) and column (value).


Storage Concepts

Statement Deduplication 🔁

Entitybase stores each unique statement only once, then references it by hash. This can reduce storage by 50%+ for typical datasets.

Example:

Q1 "pizza" --has ingredient--> Q2 "cheese"  (stored once! 🗃️)
Q3 "burger" --has ingredient--> Q2 "cheese" (reuses existing!)


Immutable Snapshot 📸

An immutable snapshot is data that, once written, can never be changed or deleted. This is the core principle of Entitybase.

Contrast with mutable data:

Mutable (traditional DB):    Immutable (Entitybase):
┌─────────────┐              Rev 1: Q1 ──▶ S3
│    Q1       │              Rev 2: Q1 ──▶ S3  
│  (current)  │              Rev 3: Q1 ──▶ S3
└─────────────┘              (all preserved!)
  (overwrites!)


API Terms

Entity ID 🎫

The unique identifier for an entity:

  • Q-ids — Items (Q1, Q2, Q3...)
  • P-ids — Properties (P1, P2, P3...)
  • L-ids — Lexemes (L1, L2, L3...)
  • E-ids — Entity Schemas (E1, E2, E3...)

Revision ID 🔢

A unique identifier for a specific revision, usually a timestamp-based number like 1700000000000001.


Edit Summary 📝

A short message describing what changed in an edit. Stored with the revision for auditability.

Example: "Added ingredient statement", "Fixed typo in description"


Protection Types

Lock 🔒

Prevents all edits to an entity. Only admins can unlock.


Semi-Protect ⚠️

Allows only established users to edit (configurable threshold).


Archive 📁

Marks an entity as archived — hidden from normal views but restorable.


Mass-Edit Protect 🚫

Prevents bulk edits through the API while allowing single edits.


Other Terms

A sitelink connects an entity to a page on another Wikimedia site.

Example:

Q123 (Wikidata item) --sitelink--> enwiki: "Pizza"
                          --sitelink--> itwiki: "Pizza"
                          --sitelink--> dewiki: "Pizza"


Entity Schema (E) 📐

An entity schema defines a structure for entities — like a schema for structured data validation.


See Also