US12572542USUSPTO Grant XML

Systems and methods for generating and displaying a data pipeline using a natural language query, and describing a data pipeline using natural language

System and method for generating and displaying data pipelines according to certain embodiments. For example, a method includes: receiving a natural language (NL) query; receiving a model result generated based on the NL query, the model result including a query in a standard query language, the model result being generated using one or more computing models; and generating the data pipeline based at least in part on the query in the standard query language, the data pipeline comprising one or more data pipeline elements, at least one data pipeline element of the one or more pipeline elements being corresponding to a query component of the query in the standard query language.

Patent

Brief

Patent brief

Problem

How can corrosion in underground pipelines and conduits be prevented?

Novelty

For example, a method includes: receiving a natural language (NL) query; receiving a model result generated based on the...

Uses

Patent review

Assignee

Palantir Technologies Inc.

Published

Mar 10, 2026

Inventors

Joseph Rafidi, James Thompson, Mohamed Zaki Trache, Felix-Gabriel Mance, Martin Copes

Domain

Infrastructure / energy

Plain-English summary

Problem

How can corrosion in underground pipelines and conduits be prevented?

Solution

System and method for generating and displaying data pipelines according to certain embodiments.

Key novelty

For example, a method includes: receiving a natural language (NL) query; receiving a model result generated based on the NL query, the model result including a query in a standard query language, the model result being generated using one or more computing models; and generating the data pipeline based at least in part on the query in the standard query language, the data pipeline comprising one or more data pipeline elements, at least one data pipeline element of the one or more pipeline elements being corresponding to a query component of the query in the standard query language.

Applications

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