# OVER 3Words naming system Humans have an exceptional ability to process natural language. Typically, at the age of four, a child can already recognize and remember more than 5,000 words. This number grows to a range between 20,000 and 35,000 for an adult. The same ability however, does not extend to numbers. Our cognitive functions are not wired to recognize and remember even dozens of number sequences. OVRLands are defined by their geographic position—a pair of numbers defining latitude and longitude. In order to align with aforementioned human cognitive abilities, we developed an open source algorithm capable of mapping coordinates of every single OVRLand with a unique triplet of English words. Every one of the 1.66 trillion OVRLands is defined by this unique and easy-to-remember grouping. To achieve this result we used a word list extracted by Google N-Grams, containing 20k of the most commonly used English words. For further informations please [click here](https://github.com/OVR-Platform/over_h3sentence) and visit the project page on [Github](https://github.com/OVR-Platform/over_h3sentence). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.overthereality.ai/over-wiki/own/what-is-an-ovrland/over-3words-naming-system.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.