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Former Yan: History & Measurement
Yan, known in historiography as the Former Yan (Chinese: 前燕; pinyin: Qián Yān; 337–370), was a dynastic state of China ruled by the Murong clan of the Xianbei during the Sixteen Kingdoms period. From Liaoning, the Former Yan later conquered and ruled over Hebei, Shaanxi, Shandong and Henan at its peak. They were notably the first of several Xianbei…
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Former Yan topic overview
The analysis highlights History and Measurement as prominent areas in the source structure around Former Yan.
Related topics
71
Source areas
2
Connected nodes
73
Extracted relationships
55
Concept neighborhoods
32
Bridge connections
73
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.
History · 52 topics
Overview · 19 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.
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 Former Yan 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 Former Yan shows recurring relationship patterns in the source. For example, Former Yan → After Murong Huang's, As, Battle, Beijing, Central Plains, Di-led Former Qin, Duan Qi, Eastern Jin, He, In, Jin, Jun, Jìcheng, Later Zhao, Liantai, Murong Jun, Murong Jun's, Murong Ke, North China Plain, Ran Min Another extracted example is Former Yan → Chinese, Huang, Huang's, In, Jin, Liaodong, Most, Murong, Murong Huang, Murong Hui, Murong Ren, Prince, Ren, Shortly, The Murong, Yan. Use these groups to spot repeated connection types before inspecting the individual relationships.
Former Yan
Top relations
related to Reign of Murong Jun· 29
Former Yan → After Murong Huang's, As, Battle, Beijing, Central Plains, Di-led Former Qin, Duan Qi, Eastern Jin, He, In, Jin, Jun, Jìcheng, Later Zhao, Liantai, Murong Jun, Murong Jun's, Murong Ke, North China Plain, Ran Min
related to Reign of Murong Huang· 16
Former Yan → Chinese, Huang, Huang's, In, Jin, Liaodong, Most, Murong, Murong Huang, Murong Hui, Murong Ren, Prince, Ren, Shortly, The Murong, Yan
Capital· 1
Former Yan → Jicheng (棘城) (337–342) Longcheng (342–350) Jicheng (薊城) (350–357) Yecheng (357–370)
Government· 1
Former Yan → Monarchy
Today part of· 1
Former Yan → China
• 337–348· 1
Former Yan → Murong Huang
• 348–360· 1
Former Yan → Murong Jun
• 360–370· 1
Former Yan → Murong Wei
• Disestablished· 1
Former Yan → 370
• Fall of Yecheng· 1
Former Yan → 11 December 370
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.
Former Yan 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 55 structured relationships around Former Yan. Examples in this analysis include Former Yan → Capital → Jicheng (棘城) (337–342) Longcheng (342–350) Jicheng (薊城) (350–357) Yecheng (357–370) and Former Yan → Government → Monarchy. The table shows each extracted connection, where it came from and its confidence.
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 Former Yan bring nearby vocabulary together. In this analysis, examples include Yan, Later and China. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Former Yan
Yan
Later
China
Ran
Qin
Murong
Emperor
Eastern
Huang's
States
Xianbei
Wei
former yan
Yan
Later
China
Ran
Zhao
Qin
Murong
Emperor
Eastern
Huang's
States
Xianbei
dynastic state of china
Qin
Former
Ran
Ke
Power
Xianbei
Wei
Yan
Zhao
Later
Murong
Brother
murong
Jun
Son
Huang
Wei
Huang's
Ke
Yan
Later
Brother
Emperor
Period
State
xianbei
Jin
Declared
Duan
Dynasty
Emperor
Imperial
Period
Ran
Reign
Yan
Also
Central
later yan
Zhao
Yan
Duan
Emperor
Ran
Qin
Brother
Dynasty
Imperial
Ke
Murong
State
murong huang
Reign
Son
Title
Jun
Declared
Emperor
Imperial
Huang
Murong
Wei
Also
Eastern
murong jun
Emperor
Jun
Murong
Capital
Son
Huang
Wei
Declared
Huang's
Ke
Also
Plains
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 Former Yan, one of the stronger structural bridges in this analysis connects Former Yan with History. 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
Former Yan — History· splits 21 ⟂ 53Former Yan — Overview· splits 54 ⟂ 20
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Former Yan
Nodes74
Edges73
Triples55
Avg. degree1.97
Density0.027027
Components1
Source & methodology
TTTA analyzes the structure around Former Yan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
