Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Meng Da: Service under Liu Zhang and Liu Bei, Defection to Wei & Rebellion and death
Meng Da (pronunciationⓘ; died c. March 228), courtesy name Zidu, was a military general of the state of Cao Wei during the early Three Kingdoms period of China. He previously served the warlords Liu Zhang and Liu Bei during the late Eastern Han dynasty before defecting to Wei. In Wei, he served under the first two rulers, Cao Pi and Cao Rui. Around late…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Meng Da topic overview
The analysis highlights Service under Liu Zhang and Liu Bei, Defection to Wei and Rebellion and death as prominent areas in the source structure around Meng Da.
Related topics
33
Source areas
6
Connected nodes
39
Extracted relationships
103
Concept neighborhoods
24
Bridge connections
39
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Overview · 11 topics
Service under Liu Zhang and Liu Bei · 10 topics
Defection to Wei · 7 topics
Rebellion and death · 3 topics
Background · 1 topics
In Romance of the Three Kingdoms · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Occupation
General
Born
Unknown Xingping, Shaanxi
Courtesy name
Zijing (子敬) / Zidu (子度)
Died
228 Fang County, Hubei
Monarch
Cao Pi / Cao Rui · Cao Pi · Emperor Xian of Han
Peerage
Marquis of Pingyang Village (平陽亭侯)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Meng Da connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Meng Da shows recurring relationship patterns in the source. For example, Meng Da → Administrator, At, August, Cao Pi, Cao Wei, Chengdu, Eastern Han, Emperor Xian, Fangling, Guan Yu, Hence, However, Huan Jie, If, In Wei, Liu, Liu Bei, Liu Bei's, Liu Feng, Liu Ye Another extracted example is Meng Da → Administrator, After, By, Cao Pi, Cao Rui, Deng Xian, Fei Shi, He, Henan, However, Huan Jie, In, Li Fu, Meng Da's, Nanyang, Northern Expeditions, Shen Yi, Shu, Sima Yi, Sima Yi's. Use these groups to spot repeated connection types before inspecting the individual relationships.
Meng Da
Top relations
related to Defection to Wei· 31
Meng Da → Administrator, At, August, Cao Pi, Cao Wei, Chengdu, Eastern Han, Emperor Xian, Fangling, Guan Yu, Hence, However, Huan Jie, If, In Wei, Liu, Liu Bei, Liu Bei's, Liu Feng, Liu Ye
related to Rebellion and death· 27
Meng Da → Administrator, After, By, Cao Pi, Cao Rui, Deng Xian, Fei Shi, He, Henan, However, Huan Jie, In, Li Fu, Meng Da's, Nanyang, Northern Expeditions, Shen Yi, Shu, Sima Yi, Sima Yi's
related to Service under Liu Zhang and Liu Bei· 26
Meng Da → Administrator, Administrator Kuai Qi, After, Chongqing, Fangling, Guan, Guan Yu, He, In, Jiangling, Jing Province, Later, Liu Bei, Liu Bei's, Liu Feng, Liu Zhang, Meng, Meng Da's, Shangyong, Sichuan
related to In Romance of the Three Kingdoms· 6
Meng Da → His, Romance, Three Kingdoms, Xincheng Rebellion, Ziqing, Zǐqìng
related to background· 5
Meng Da → Emperor Ling, Han, Inspector, Liang, Meng Ta
Monarch· 3
Meng Da → Cao Pi, Cao Pi / Cao Rui, Emperor Xian of Han
Born· 1
Meng Da → Unknown Xingping, Shaanxi
Courtesy name· 1
Meng Da → Zijing (子敬) / Zidu (子度)
Died· 1
Meng Da → 228 Fang County, Hubei
Occupation· 1
Meng Da → General
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Meng Da relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 103 structured relationships around Meng Da. Examples in this analysis include Meng Da → Born → Unknown Xingping, Shaanxi and Meng Da → Courtesy name → Zijing (子敬) / Zidu (子度). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Meng Da
Born
Unknown Xingping, Shaanxi
1.00
infobox
Meng Da
Courtesy name
Zijing (子敬) / Zidu (子度)
1.00
infobox
Meng Da
Died
228 Fang County, Hubei
1.00
infobox
Meng Da
Monarch
Cao Pi / Cao Rui
1.00
infobox
Meng Da
Monarch
Cao Pi
1.00
infobox
Meng Da
Monarch
Emperor Xian of Han
1.00
infobox
Meng Da
Occupation
General
1.00
infobox
Meng Da
Peerage
Marquis of Pingyang Village (平陽亭侯)
1.00
infobox
Meng Da
related to background
Meng Ta
0.60
section
Meng Da
related to background
Inspector
0.60
section
Meng Da
related to background
Liang
0.60
section
Meng Da
related to background
Emperor Ling
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Meng Da bring nearby vocabulary together. In this analysis, examples include Meng, Wei and Liu. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Meng Da
Meng
Wei
Liu
Liang
Died
Pi
Administrator
Da's
Feng
Province
Zhuge
Rebellion
meng da
Meng
Wei
Liu
Liang
Administrator
Died
Feng
Province
Pi
Da's
Yi
Zhuge
cao wei
Pi
Meng
Bei
Emperor
Monarch
Office
Rui
Three
Zhuge
Wei
Liang
Da's
liu zhang
Bei
Dynasty
Served
Bei's
Feng
Province
Meng
Liu
Zhang
Yi
Da's
Wei
liu bei
Bei
Liu
Zhang
Bei's
Feng
Meng
Wei
Dynasty
Han
Latter
Province
Da's
eastern han dynasty
Dynasty
Emperor
Han
Zhang
Kingdoms
Liang
Three
Late
Monarch
Office
Rui
Served
cao pi
Pi
Emperor
Monarch
Office
Rui
Three
Wei
Kingdoms
Dynasty
Liu
Zidu
Courtesy
cao rui
Pi
Emperor
Monarch
Office
Rui
Three
Wei
Kingdoms
Served
Dynasty
Liu
Zhang
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Meng Da, one of the stronger structural bridges in this analysis connects Meng Da with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Meng Da — Overview· splits 28 ⟂ 12Meng Da — Service under Liu Zhang and Liu Bei· splits 29 ⟂ 11Meng Da — Defection to Wei· splits 32 ⟂ 8Meng Da — Rebellion and death· splits 36 ⟂ 4
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Meng Da
Nodes40
Edges39
Triples103
Avg. degree1.95
Density0.05
Components1
Source & methodology
TTTA analyzes the structure around Meng Da to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Service under Liu Zhang and Liu Bei, Defection to Wei & Rebellion and death, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
