Knowledge Objects
A page should not own a repeated fact. It should present a governed Knowledge Object.
On this pageWhat is a Knowledge Object?⌄
What is a Knowledge Object?
A Knowledge Object is a reusable representation of an entity, attribute, event, metric, relationship, or concept. It carries enough context to remain meaningful when it appears outside the page where it was first created.
It is not a file format. It is not a database row with a new label. It is not a claim about how an external AI system stores information.
It is a design unit used by product, engineering, data, content, search, and analytics teams. It defines what should stay consistent when the same knowledge appears through several interfaces.
The six parts
1. Identity
Identity states what the knowledge describes. It can include a primary name, entity type, identifier, alias, canonical URL, parent category, or market.
This prevents similar names from being treated as the same thing. A company, its stock, its parent organization, and its consumer brand may be related, but they are not interchangeable. A product family and a specific model may share a name while supporting different features. A government program may have a common nickname that overlaps with another policy.
2. Attributes
Attributes describe the object. They can be static, slowly changing, frequently changing, calculated, or forecasted.
The distinction matters because different attributes need different source and update rules. A company description may remain useful for months. A market price changes continuously. Quarterly revenue belongs to a defined reporting period. An analyst estimate is a forecast and should not be presented as an observed result.
3. Relationships
Relationships connect one object to another.
A company belongs to an industry. A security represents an interest in a company. A drug treats a condition. A policy applies within a jurisdiction. A product works with a compatible accessory. An earnings event belongs to a reporting period.
These relationships make comparison, navigation, retrieval, and explanation possible without repeating the same context across every page.
4. Temporal context
Time becomes part of the meaning when information changes.
Useful time states include current, delayed, historical, as reported, forecasted, valid from, valid through, last reviewed, and last updated.
A value can be accurate when published and wrong one hour later. A rule can apply during one calendar year and expire in the next. A company can change names while older filings remain associated with the previous name. Temporal context keeps these facts from collapsing into one record.
5. Provenance
Provenance records where the information originated and how it reached the presentation.
The source can be an official filing, licensed provider, company database, government publication, calculation, editorial review, or user supplied value.
Provenance should attach to the specific fact or calculation that depends on it. A general source list at the bottom of a page is not always enough when the page combines several data types.
6. Rules
Rules define how the object behaves.
Examples include a calculation formula, rounding policy, refresh frequency, fallback state, eligibility rule, publication restriction, or condition that causes the object to be withheld.
Rules matter because the same raw data can produce different outputs. A price to earnings ratio can use trailing earnings or forward estimates. A product price can include or exclude fees. A count can include or exclude inactive records. The presentation should not hide the policy behind the value.
The test for a useful object
Not every fragment of information needs to become a Knowledge Object. The concept is useful only when the object carries enough meaning to survive outside the interface where it was created.
A practical test is to ask whether another team or system could reuse the object without reconstructing its meaning from scratch.
| Question | Why it matters |
|---|---|
| Can the object be identified without relying on the page title? | Identity should not disappear when information is extracted. |
| Does the value retain its unit, definition, and time context? | A number can be correct and still mislead when these details are missing. |
| Can the original source be traced? | Provenance supports verification, correction, and attribution. |
| Are important relationships represented explicitly? | Relationships support comparison, explanation, and correct grouping. |
| Is there a defined response when the data is missing or stale? | Silence and false certainty are both poor failure modes. |
| Can several presentations use the object without changing its meaning? | Reuse is the main advantage of separating knowledge from output. |
A financial example
Consider a market capitalization value shown on a company page.
The visible output may be only "$2.9T." That is enough for a reader who already knows the company, currency, market status, and meaning of the metric. It is not enough for reliable reuse.
A complete object would include more.
Entity
The legal company and the specific publicly traded security.
Value and unit
The calculated value and the currency in which it is expressed.
Method
The share price and share count definition used in the calculation.
Time
The observation time, market status, delay, and expected refresh interval.
Source
The provider, filing, or internal system behind each input.
Qualification
Conditions that can cause the value to differ across providers.
Once those elements are represented, the same object can support a stock page, ranking table, comparison experience, market summary, API response, or generated answer. Each surface can choose a suitable presentation without redefining the underlying fact.
Knowledge Objects are not schema markup
Structured markup can expose selected information about a page. It can help a search engine understand page content and may support specific search features. It does not establish a complete knowledge model by itself.
A markup block can still contain stale values. It can disagree with the visible page. It can identify a company but omit the calculation or source behind a metric. It can be technically valid while the underlying information remains weak.
Authoritative facts and events
Identity, context, rules, and provenance
Pages, markup, applications, APIs
Structured data should be one output of the same source model that powers the visible experience. It should not become a separate version of reality.
Granularity is a product decision
The hardest design question is often not what belongs inside an object. It is where one object ends and another begins.
An object that is too broad becomes difficult to update and reuse. An object that is too narrow loses meaning and creates excessive coordination.
For example, "Apple Inc." can be modeled as one large object containing every known fact. That would be difficult to govern because company description, executives, price, earnings, products, and legal filings change at different rates and come from different sources.
A stronger model can use several connected objects:
- Company identity
- Tradable security
- Current market snapshot
- Historical price observation
- Earnings event
- Financial statement period
- Analyst estimate
- Educational definition
These objects can be composed into one page while retaining separate ownership and update rules.
Composition instead of duplication
Traditional page production often copies information into each new template. Knowledge Objects replace copying with composition.
A comparison page can combine two company identities, two current market snapshots, normalized metrics, and one educational definition. A market newsletter can combine the same snapshots with event objects and editorial analysis. An assistant can retrieve only the objects needed for a specific question.
Composition provides three practical benefits.
Consistency
A correction to the source object can flow to every dependent presentation.
Speed
Teams can create new experiences from established components instead of rebuilding the information model for every page.
Auditability
When a value is wrong, teams can trace the object, source, transformation, and affected presentations.
The role of editorial content
Knowledge Objects do not reduce every page to a database view.
Editorial judgment remains important. Writers explain why information matters, resolve nuance, add examples, compare interpretations, and make complex ideas understandable. Product designers choose hierarchy and interaction. Compliance teams define where qualifications belong. Search specialists connect the language people use to the entities and questions represented in the system.
The object provides a dependable base. The presentation adds purpose.
| Knowledge Object | Editorial presentation |
|---|---|
| Defines what is known | Explains why it matters |
| Preserves source and time context | Adapts detail and tone to the audience |
| Supports consistent reuse | Creates a coherent narrative or experience |
| Changes when facts or rules change | Changes when user needs or strategy change |
How to start
A full knowledge graph is not required. Teams can begin with one high value question that currently produces inconsistent or unreliable answers.
- Select a repeated question. Choose one that appears across search, support, product, or sales workflows.
- List every current answer. Identify pages, tables, databases, APIs, documents, and manual responses.
- Define the entity. Establish stable identifiers and aliases.
- Separate durable and changing facts. This often reveals natural object boundaries.
- Attach sources and time rules. Define authority, refresh cadence, validity, and fallback behavior.
- Generate two presentations. Reuse the object in at least two surfaces to test whether the model is portable.
- Measure disagreement. Track where the presentations diverge or require manual exceptions.
The goal is not to model everything. The goal is to create a reusable unit that removes a real source of ambiguity or repeated work.
Common failure patterns
The object becomes a data dump
Adding every available attribute makes the object expensive to govern. Include what is required to answer the target questions reliably.
The object has no owner
A shared object without clear ownership becomes a shared source of stale information.
Presentations bypass the object
If teams copy values into local systems without controls, inconsistency returns.
Time is treated as metadata
For changing information, time is part of meaning. It must affect display, retrieval, and failure behavior.
The model claims certainty it does not have
Estimates, disputed definitions, and incomplete sources should remain visible as such.
Markup becomes a separate source
Visible content and machine readable content drift because they are maintained independently.
Scope
A Knowledge Object is a design abstraction. It does not imply that a search engine or AI product stores, retrieves, or represents information in the same way.
The concept is useful because it gives publishing and product teams a stable unit for modeling, governance, reuse, and quality control. It can improve clarity and consistency, but it does not guarantee ranking, inclusion, or citation.
Framework in one minute
- A page is one presentation. It should not be the sole owner of a repeated fact.
- A Knowledge Object combines identity, attributes, relationships, provenance, temporal context, and rules.
- Object boundaries should reflect differences in source, ownership, update cadence, and validity.
- Structured data is one output of a knowledge model, not a substitute for one.
- The practical value comes from composition: one governed object supporting several useful presentations.