diff --git a/env.example b/env.example
index ce875d3b..749ddc3d 100644
--- a/env.example
+++ b/env.example
@@ -125,7 +125,7 @@ ENABLE_LLM_CACHE_FOR_EXTRACT=true
 SUMMARY_LANGUAGE=English
 
 ### Entity types that the LLM will attempt to recognize
-# ENTITY_TYPES='["Organization", "Person", "Equipment", "Product", "Technology", "Location", "Event", "Category"]'
+# ENTITY_TYPES='["Organization", "Person", "Location", "Event", "Technology", "Equipment", "Product", "Document", "Category"]'
 
 ### Chunk size for document splitting, 500~1500 is recommended
 # CHUNK_SIZE=1200
diff --git a/lightrag/constants.py b/lightrag/constants.py
index 5cdba052..0b3962d0 100644
--- a/lightrag/constants.py
+++ b/lightrag/constants.py
@@ -26,11 +26,12 @@ DEFAULT_SUMMARY_CONTEXT_SIZE = 12000
 DEFAULT_ENTITY_TYPES = [
     "Organization",
     "Person",
-    "Equipment",
-    "Product",
-    "Technology",
     "Location",
     "Event",
+    "Technology",
+    "Equipment",
+    "Product",
+    "Document",
     "Category",
 ]
 
diff --git a/lightrag/prompt.py b/lightrag/prompt.py
index 76077af0..0d21375a 100644
--- a/lightrag/prompt.py
+++ b/lightrag/prompt.py
@@ -54,7 +54,7 @@ PROMPTS["entity_extraction_examples"] = [
     """[Example 1]
 
 ---Input---
-Entity_types: [organization,person,equiment,product,technology,location,event,category]
+Entity_types: [organization,person,location,event,technology,equiment,product,Document,category]
 Text:
 ```
 while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
@@ -83,7 +83,7 @@ It was a small transformation, barely perceptible, but one that Alex noted with
     """[Example 2]
 
 ---Input---
-Entity_types: [organization,person,equiment,product,technology,location,event,category]
+Entity_types: [organization,person,location,event,technology,equiment,product,Document,category]
 Text:
 ```
 Stock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.
@@ -114,7 +114,7 @@ Financial experts are closely watching the Federal Reserve's next move, as specu
     """[Example 3]
 
 ---Input---
-Entity_types: [organization,person,equiment,product,technology,location,event,category]
+Entity_types: [organization,person,location,event,technology,equiment,product,Document,category]
 Text:
 ```
 At the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.
@@ -137,7 +137,7 @@ At the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint
     """[Example 4]
 
 ---Input---
-Entity_types: [organization,person,equiment,product,technology,location,event,category]
+Entity_types: [organization,person,location,event,technology,equiment,product,Document,category]
 Text:
 ```
 在北京举行的人工智能大会上，腾讯公司的首席技术官张伟发布了最新的大语言模型"腾讯智言"，该模型在自然语言处理方面取得了重大突破。