annamakor · Nov 10, 2026
diff --git a/docs/build/lift-data-from-json-and-xml-sources/index.md b/docs/build/lift-data-from-json-and-xml-sources/index.md
@@ -27,9 +27,9 @@ This tutorial shows how you can build a Knowledge Graph based on input data from
 
 The following material is used in this tutorial:
 
-- Sample vocabulary describing the data in the JSON and XML files: [products_vocabulary.nt](products_vocabulary.nt)
+- Sample vocabulary describing the data in the JSON and XML files: [products_vocabulary.nt](../products_vocabulary.nt)
 
-    ![Visualization of the "Products Vocabulary".](products-vocab-xml+json.png){ class="bordered" }
+    ![Classes and object properties of the products vocabulary in the Vocab tab of Explore](../products-vocab.png){ class="bordered" }
 
 - Sample JSON file: [services.json](services.json)
 

diff --git a/...build/lift-data-from-json-and-xml-sources/ldfjaxs-json-transform-evaluation.png b/...build/lift-data-from-json-and-xml-sources/ldfjaxs-json-transform-evaluation.png
diff --git a/docs/build/lift-data-from-json-and-xml-sources/ldfjaxs-mapping-rule-config-xml.png b/docs/build/lift-data-from-json-and-xml-sources/ldfjaxs-mapping-rule-config-xml.png
diff --git a/docs/build/lift-data-from-json-and-xml-sources/ldfjaxs-mapping-xml-department.png b/docs/build/lift-data-from-json-and-xml-sources/ldfjaxs-mapping-xml-department.png
diff --git a/.../build/lift-data-from-json-and-xml-sources/ldfjaxs-xml-transform-evaluation.png b/.../build/lift-data-from-json-and-xml-sources/ldfjaxs-xml-transform-evaluation.png
diff --git a/docs/build/lift-data-from-json-and-xml-sources/mapping-rule-config-json.png b/docs/build/lift-data-from-json-and-xml-sources/mapping-rule-config-json.png
diff --git a/docs/build/lift-data-from-json-and-xml-sources/products-vocab-xml+json.png b/docs/build/lift-data-from-json-and-xml-sources/products-vocab-xml+json.png
diff --git a/docs/build/lift-data-from-json-and-xml-sources/products_vocabulary.nt b/docs/build/lift-data-from-json-and-xml-sources/products_vocabulary.nt
diff --git a/.../build/lift-data-from-tabular-data-such-as-csv-xslx-or-database-tables/index.md b/.../build/lift-data-from-tabular-data-such-as-csv-xslx-or-database-tables/index.md
@@ -27,9 +27,9 @@ This beginner-level tutorial shows how you can build a Knowledge Graph based on
 
 The following material is used in this tutorial, you should download the files and have them at hand throughout the tutorial:
 
-- Sample vocabulary which describes the data in the CSV files: [products_vocabulary.nt](products_vocabulary.nt)
+- Sample vocabulary which describes the data in the CSV files: [products_vocabulary.nt](../products_vocabulary.nt)
 
-    ![](products-vocab.png){ class="bordered" }
+    ![Classes and object properties of the products vocabulary in the Vocab tab of Explore](../products-vocab.png){ class="bordered" }
 
 - Sample CSV file: [services.csv](services.csv)
 
@@ -178,7 +178,7 @@ The transformation defines how an input dataset (e.g. CSV) will be transformed i
 
 2. Fill out the **Label** with `Lift Service Database`.
 
-3. Scroll down to **Target vocabularies**, select **Select individual vocabularies** and choose `pv: Products-Vocab` in the drop-down list.
+3. Scroll down to **Target vocabularies**, select **Select individual vocabularies** and choose `pv: Products - Vocab` in the drop-down list.
 
 
     ![Label transformation](transformation-label.png){ class="bordered" width="50%" }
@@ -201,7 +201,7 @@ The transformation defines how an input dataset (e.g. CSV) will be transformed i
 
 3. Click **Edit** to create a base mapping.
 
-4. Define the **Target entity type** from the vocabulary, the **URI pattern** and a **label** for the mapping. After typing the **Target entity type** you must click the custom entry: `Service` suggestion. Typing alone leaves it unset. In this example we will use:
+4. Define the **Target entity type** from the vocabulary, the **URI pattern** and a **label** for the mapping. After typing the **Target entity type**, select the `Service` suggestion from the vocabulary, not the **Create option** entry. Typing alone leaves it unset. In this example we will use:
 
     - Target entity type: `Service`
     - URI pattern:

diff --git a/...ta-from-tabular-data-such-as-csv-xslx-or-database-tables/mapping-evaluation.png b/...ta-from-tabular-data-such-as-csv-xslx-or-database-tables/mapping-evaluation.png
diff --git a/...t-data-from-tabular-data-such-as-csv-xslx-or-database-tables/products-vocab.png b/...t-data-from-tabular-data-such-as-csv-xslx-or-database-tables/products-vocab.png
diff --git a/...ld/lift-data-from-tabular-data-such-as-csv-xslx-or-database-tables/products_vocabulary.nt b/...ld/lift-data-from-tabular-data-such-as-csv-xslx-or-database-tables/products_vocabulary.nt
diff --git a/...tabular-data-such-as-csv-xslx-or-database-tables/services-mapping-rule-edit.png b/...tabular-data-such-as-csv-xslx-or-database-tables/services-mapping-rule-edit.png
diff --git a/docs/build/mapping-creator-tutorial/index.md b/docs/build/mapping-creator-tutorial/index.md
@@ -46,9 +46,9 @@ The result is a Knowledge Graph of departments, their managers, their employees,
 The following material is used in this tutorial.
 Download both files and keep them at hand.
 
-- Vocabulary which describes the target structure of the Knowledge Graph: [products_vocabulary.nt](products_vocabulary.nt)
+- Vocabulary which describes the target structure of the Knowledge Graph: [products_vocabulary.nt](../products_vocabulary.nt)
 
-    ![Classes and properties of the products vocabulary](products-vocab.png){ class="bordered" }
+    ![Classes and object properties of the products vocabulary in the Vocab tab of Explore](../products-vocab.png){ class="bordered" }
 
 - Source file with the organizational structure of a company: [orgmap.xml](orgmap.xml)
 

diff --git a/docs/build/mapping-creator-tutorial/products-vocab.png b/docs/build/mapping-creator-tutorial/products-vocab.png
diff --git a/docs/build/products-vocab.png b/docs/build/products-vocab.png
diff --git a/...g-creator-tutorial/products_vocabulary.nt → docs/build/products_vocabulary.nt b/...g-creator-tutorial/products_vocabulary.nt → docs/build/products_vocabulary.nt
diff --git a/docs/build/snowflake-tutorial/index.md b/docs/build/snowflake-tutorial/index.md
@@ -31,7 +31,7 @@ This tutorial contains the following step-by-step instructions to connect the Sn
 
 The following material is used in this tutorial, you should download the files and have them at hand throughout the tutorial:
 
-- The product data vocabulary [products_vocabulary.nt](products_vocabulary.nt)
+- The product data vocabulary [products_vocabulary.nt](../products_vocabulary.nt)
 
 ## 1. Create a database in Snowflake
 
@@ -1189,7 +1189,7 @@ Here you can populate some test data with the following SQL query:
 
     ![image](snowflake-click-on-mapping.png){ class="bordered" }
 
-- For  the target entity select  **Product (pv:product)**.
+- For  the target entity select  **Product (pv:Product)**.
 
     ![image](snowflake-target-entity.png){ class="bordered" }
 
@@ -1236,7 +1236,7 @@ Here you can populate some test data with the following SQL query:
 
     !!! note
 
-        Suggestions generated are based on vocabulary which describes the data in the CSV files: [products_vocabulary.nt](products_vocabulary.nt)
+        Suggestions generated are based on vocabulary which describes the data in the CSV files: [products_vocabulary.nt](../products_vocabulary.nt)
 
 - **Tick** the box to select the suggestions to be added, then click on **Add**.