diff --git a/graalpy/graalpy-micronaut-pygal-charts/README.md b/graalpy/graalpy-micronaut-pygal-charts/README.md
index e16cba0..d69d788 100644
--- a/graalpy/graalpy-micronaut-pygal-charts/README.md
+++ b/graalpy/graalpy-micronaut-pygal-charts/README.md
@@ -42,4 +42,7 @@ The `DemoController` uses four services that all render the same XY chart using
 
 The `DemoTest` ensures that all four service implementations render the same XY chart. Run it with `./mvnw test`.
 
-> Note: This demo uses a single [`GraalPyContext`](src/main/java/com/example/GraalPyContext.java), which can be accessed from only one thread at a time to evaluate Python code. Pure Python packages including Pygal can be used in multiple GraalPy contexts, for example one context per thread, to improve the throughput of the application. Other demos illustrate how to pool multiple contexts.
+> Note: This demo uses a single [`GraalPyContext`](src/main/java/com/example/GraalPyContext.java), which can execute [Python code in only one thread at a time](https://docs.python.org/3/glossary.html#term-global-interpreter-lock).
+> Threads running Python code are internally scheduled in round-robin fashion.
+> Pure Python packages including Pygal can be used in multiple GraalPy contexts, for example one context per thread, to improve the throughput of the application.
+> Other demos such as [`graalwasm-micronaut-photon`](../graalwasm/graalwasm/graalwasm-micronaut-photon) illustrate how to pool multiple contexts.
diff --git a/graalpy/graalpy-spring-boot-pygal-charts/README.md b/graalpy/graalpy-spring-boot-pygal-charts/README.md
index fc0a5c1..349381e 100644
--- a/graalpy/graalpy-spring-boot-pygal-charts/README.md
+++ b/graalpy/graalpy-spring-boot-pygal-charts/README.md
@@ -42,4 +42,7 @@ The `DemoController` uses four services that all render the same XY chart using
 
 The `DemoApplicationTests` ensures that all four service implementations render the same XY chart. Run it with `./mvnw test`.
 
-> Note: This demo uses a single [`GraalPyContext`](src/main/java/com/example/demo/GraalPyContextConfiguration.java), which can be accessed from only one thread at a time to evaluate Python code. Pure Python packages including Pygal can be used in multiple GraalPy contexts, for example one context per thread, to improve the throughput of the application. Other demos illustrate how to pool multiple contexts.
+> Note: This demo uses a single [`GraalPyContext`](src/main/java/com/example/demo/GraalPyContextConfiguration.java), which can execute [Python code in only one thread at a time](https://docs.python.org/3/glossary.html#term-global-interpreter-lock).
+> Threads running Python code are internally scheduled in round-robin fashion.
+> Pure Python packages including Pygal can be used in multiple GraalPy contexts, for example one context per thread, to improve the throughput of the application.
+> Other demos such as [`graalwasm-micronaut-photon`](../graalwasm/graalwasm/graalwasm-spring-boot-photon) illustrate how to pool multiple contexts.
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