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Xu Da: In fiction, Biography & Family
Xu Da (1332–1385), courtesy name Tiande, known by his title as Duke of Wei (魏國公), later posthumously as Prince of Zhongshan (中山王), was a Chinese military general and official who lived in the late Yuan dynasty and early Ming dynasty. He was a friend of the Hongwu Emperor, the founder and first ruler of the Ming dynasty, and assisted him in overthrowing…
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Xu Da topic overview
The analysis highlights In fiction, Biography and Family as prominent areas in the source structure around Xu Da.
Related topics
29
Source areas
4
Connected nodes
33
Extracted relationships
48
Concept neighborhoods
15
Bridge connections
33
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.
In fiction · 11 topics
Overview · 8 topics
Biography · 7 topics
Family · 3 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.
Born
1332 Yuan Zhishun 3 (元至順三年) Yongfeng Township, Zhongli County, Hao Prefecture, Anfeng Lu, Henan Jiangbei Province
Children
Xu Huizu, Duke of Wei Xu Tianfu Xu Zengshou, Duke of Ding Xu Yihua, Empress Renxiaowen Princess Consort of Dai Princess Consort of An Xu Yingxu Xu Miaojin
Died
1385 (aged 52–53) Ming Hongwu 18 (明洪武十八年) Yingtian Prefecture
Preceded by
Li Shanchang · Office established
Spouses
Lady Zhang · Lady Xie
Succeeded by
Hu Weiyong · Wang Guangyang · Xu Huizu
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 Xu 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 Xu Da shows recurring relationship patterns in the source. For example, Xu Da → As, Book, Dragon Saber, He Who Drowned, Louis Cha's, Ming, She Who Became, Shelley Parker-Chan's, Song, Sun, The Heaven Sword, World, Wumu, Xu, Yuan, Yuan Ming Cult, Yue Fei, Zhang, Zhang Wuji, Zhu Yuanzhang Another extracted example is Xu Da → Afterwards, Beijing, China, Chinese, His, In, Karakorum, Khanbaliq, Ming, Mongol, Mongol-led Yuan, Red Turban, Toghon Temür, Transbaikalia, Xu, Xu Da's, Yuan, Zhu Yuanzhang. Use these groups to spot repeated connection types before inspecting the individual relationships.
Xu Da
Top relations
related to In fiction· 20
Xu Da → As, Book, Dragon Saber, He Who Drowned, Louis Cha's, Ming, She Who Became, Shelley Parker-Chan's, Song, Sun, The Heaven Sword, World, Wumu, Xu, Yuan, Yuan Ming Cult, Yue Fei, Zhang, Zhang Wuji, Zhu Yuanzhang
related to Biography· 18
Xu Da → Afterwards, Beijing, China, Chinese, His, In, Karakorum, Khanbaliq, Ming, Mongol, Mongol-led Yuan, Red Turban, Toghon Temür, Transbaikalia, Xu, Xu Da's, Yuan, Zhu Yuanzhang
Succeeded by· 3
Xu Da → Hu Weiyong, Wang Guangyang, Xu Huizu
Preceded by· 2
Xu Da → Li Shanchang, Office established
Spouses· 2
Xu Da → Lady Xie, Lady Zhang
Born· 1
Xu Da → 1332 Yuan Zhishun 3 (元至順三年) Yongfeng Township, Zhongli County, Hao Prefecture, Anfeng Lu, Henan Jiangbei Province
Children· 1
Xu Da → Xu Huizu, Duke of Wei Xu Tianfu Xu Zengshou, Duke of Ding Xu Yihua, Empress Renxiaowen Princess Consort of Dai Princess Consort of An Xu Yingxu Xu Miaojin
Died· 1
Xu Da → 1385 (aged 52–53) Ming Hongwu 18 (明洪武十八年) Yingtian Prefecture
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.
Xu 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 48 structured relationships around Xu Da. Examples in this analysis include Xu Da → Born → 1332 Yuan Zhishun 3 (元至順三年) Yongfeng Township, Zhongli County, Hao Prefecture, Anfeng Lu, Henan Jiangbei Province and Xu Da → Children → Xu Huizu, Duke of Wei Xu Tianfu Xu Zengshou, Duke of Ding Xu Yihua, Empress Renxiaowen Princess Consort of Dai Princess Consort of An Xu Yingxu Xu Miaojin. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Xu Da
Born
1332 Yuan Zhishun 3 (元至順三年) Yongfeng Township, Zhongli County, Hao Prefecture, Anfeng Lu, Henan Jiangbei Province
1.00
infobox
Xu Da
Children
Xu Huizu, Duke of Wei Xu Tianfu Xu Zengshou, Duke of Ding Xu Yihua, Empress Renxiaowen Princess Consort of Dai Princess Consort of An Xu Yingxu Xu Miaojin
1.00
infobox
Xu Da
Died
1385 (aged 52–53) Ming Hongwu 18 (明洪武十八年) Yingtian Prefecture
1.00
infobox
Xu Da
Preceded by
Li Shanchang
1.00
infobox
Xu Da
Preceded by
Office established
1.00
infobox
Xu Da
Spouses
Lady Zhang
1.00
infobox
Xu Da
Spouses
Lady Xie
1.00
infobox
Xu Da
Succeeded by
Hu Weiyong
1.00
infobox
Xu Da
Succeeded by
Wang Guangyang
1.00
infobox
Xu Da
Succeeded by
Xu Huizu
1.00
infobox
Xu Da
related to Biography
Red Turban
0.60
section
Xu Da
related to Biography
Mongol-led Yuan
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 Xu Da bring nearby vocabulary together. In this analysis, examples include Xu, Zhu and Dynasty. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Xu Da
Xu
Zhu
Dynasty
Emperor
Hongwu
Consort
Lady
Prince
Princess
Son
Yuan
Daughtermarried
xu da
Xu
Yuan
Dynasty
Ming
Zhu
Died
Emperor
Hongwu
Consort
Lady
Prince
Princess
yuan dynasty
Ming
Yuan
Military
Xu
Zhang
General
Hongwu
Wei
First
中山王
Died
Emperor
ming dynasty
Ming
Yuan
Military
Xu
Zhang
General
Hongwu
Wei
Yuanzhang
Zhu
Emperor
First
hongwu emperor
Hongwu
Daughtermarried
Lady
Son
2nd
Issue
Sons
Zhu
Consort
Princess
Huizu
Tianfu
empress xu
Huizu
Tianfu
Zengshou
Wei
2nd
Issue
Sons
Zhang
Zhu
Daughtermarried
Dynasty
Emperor
yongle emperor
Hongwu
Daughtermarried
Son
2nd
Issue
Sons
Zhu
Lady
Xu
Empress
Married
Consort
hongxi emperor
Hongwu
Daughtermarried
Son
2nd
Issue
Sons
Zhu
Lady
Xu
Empress
Married
Consort
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 Xu Da, one of the stronger structural bridges in this analysis connects Xu Da with In fiction. 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
Xu Da — In fiction· splits 22 ⟂ 12Xu Da — Overview· splits 25 ⟂ 9Xu Da — Biography· splits 26 ⟂ 8Xu Da — Family· splits 30 ⟂ 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.
Xu Da
Nodes34
Edges33
Triples48
Avg. degree1.94
Density0.058824
Components1
Source & methodology
TTTA analyzes the structure around Xu Da to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as In fiction, Biography & Family, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Xu Da · EN edition · Analysis: TopicsToTalkAbout
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