diff --git a/lightrag/prompt.py b/lightrag/prompt.py
index 8b1112f5..17947038 100644
--- a/lightrag/prompt.py
+++ b/lightrag/prompt.py
@@ -19,7 +19,7 @@ Use {language} as output language.
 
 ---Steps---
 1. Identify all entities. For each identified entity, extract the following information:
-- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.
+- entity_name: Name of the entity, use same language as input text. If English, capitalized the name
 - entity_type: One of the following types: [{entity_types}]
 - entity_description: Provide a comprehensive description of the entity's attributes and activities *based solely on the information present in the input text*. **Do not infer or hallucinate information not explicitly stated.** If the text provides insufficient information to create a comprehensive description, state "Description not available in text."
 Format each entity as ("entity"{tuple_delimiter}<entity_name>{tuple_delimiter}<entity_type>{tuple_delimiter}<entity_description>)
@@ -156,9 +156,9 @@ MANY entities and relationships were missed in the last extraction. Please find
 ---Remember Steps---
 
 1. Identify all entities. For each identified entity, extract the following information:
-- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.
+- entity_name: Name of the entity, use same language as input text. If English, capitalized the name
 - entity_type: One of the following types: [{entity_types}]
-- entity_description: Comprehensive description of the entity's attributes and activities
+- entity_description: Provide a comprehensive description of the entity's attributes and activities *based solely on the information present in the input text*. **Do not infer or hallucinate information not explicitly stated.** If the text provides insufficient information to create a comprehensive description, state "Description not available in text."
 Format each entity as ("entity"{tuple_delimiter}<entity_name>{tuple_delimiter}<entity_type>{tuple_delimiter}<entity_description>)
 
 2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.