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Mount Lu: History, Overview & Attractions and features
Mount Lu or Lushan (simplified Chinese: 庐山; traditional Chinese: 廬山; pinyin: Lúshān, Gan: Lu-san) is a mountain situated in Jiujiang, Jiangxi, China. It was also known as Kuanglu (匡廬) in ancient times. The mountain and its immediate area are officially designated as the Lushan National Park, and it is one of the most renowned mountains in the country.…
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Mount Lu topic overview
The analysis highlights History, Overview and Attractions and features as prominent areas in the source structure around Mount Lu.
Related topics
69
Source areas
3
Connected nodes
72
Extracted relationships
83
Concept neighborhoods
37
Bridge connections
72
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 · 43 topics
Overview · 18 topics
Attractions and features · 8 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.
Location
Lushan National Park, Jiangxi, China.
Area
30,200 ha (75,000 acres)
Criteria
Cultural: ii, iii, vi, v, vi
Elevation
4,836 ft (1,474 m)
Inscription
1996 (20th Session)
Official name
Lushan National Park
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 Mount Lu 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 Mount Lu shows recurring relationship patterns in the source. For example, Mount Lu → At, Bai Juyi, Bamboo Temple, Below, Between, Catholic Church, China, Chinese, Five Old Man Peaks, Five Old Men Peak, Flower Path, Greater, Guanyin Bridge, Immortal Caverns, It, Jingxiu Valley, Kuling, Lesser Tianchi Lakes, Li Bai, Li Bo Another extracted example is Mount Lu → Academy, AD, Because, Between AD, Buddhism, Christianity, Confucian, Confucianism, Daoism, Daoist, Donglin Temple, During, Huiyuan, Jin, Lushan, Mahayana, Ming, Other, Pure Land Buddhism, Song. Use these groups to spot repeated connection types before inspecting the individual relationships.
Mount Lu
Top relations
related to Attractions and features· 40
Mount Lu → At, Bai Juyi, Bamboo Temple, Below, Between, Catholic Church, China, Chinese, Five Old Man Peaks, Five Old Men Peak, Flower Path, Greater, Guanyin Bridge, Immortal Caverns, It, Jingxiu Valley, Kuling, Lesser Tianchi Lakes, Li Bai, Li Bo
related to history· 28
Mount Lu → Academy, AD, Because, Between AD, Buddhism, Christianity, Confucian, Confucianism, Daoism, Daoist, Donglin Temple, During, Huiyuan, Jin, Lushan, Mahayana, Ming, Other, Pure Land Buddhism, Song
related to Gallery· 7
Mount Lu → Deer Grotte AcademyThe, Lu West Sea, LulinDonglin, Lushan Conference, Mountain, Mountain Immortals CaveChristian, Sandie
Area· 1
Mount Lu → 30,200 ha (75,000 acres)
Coordinates· 1
Mount Lu → .mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punct,.mw-pars…
Criteria· 1
Mount Lu → Cultural: ii, iii, vi, v, vi
Elevation· 1
Mount Lu → 4,836 ft (1,474 m)
Inscription· 1
Mount Lu → 1996 (20th Session)
Location· 1
Mount Lu → Lushan National Park, Jiangxi, China.
Official name· 1
Mount Lu → Lushan National Park
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.
Mount Lu 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 83 structured relationships around Mount Lu. Examples in this analysis include Mount Lu → Area → 30,200 ha (75,000 acres) and Mount Lu → Coordinates → .mw-parser-output .geo-default,.mw-parser-output .geo-dms,.mw-parser-output .geo-dec{display:inline}.mw-parser-output .geo-nondefault,.mw-parser-output .geo-multi-punct,.mw-pars…. 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 Mount Lu bring nearby vocabulary together. In this analysis, examples include Mount, China and Lushan. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Mount Lu
Mount
China
Lushan
Jiangxi
Summer
Mountain
Features
Important
Jiujiang
Site
Chiang
Needed
mount lu
Mount
China
Lushan
Jiangxi
Summer
Mountain
Features
Important
Jiujiang
Site
Chiang
Needed
lushan city
National
Mount
Park
Mountain
Important
Jiangxi
Area
Unesco
China
Beauty
Features
Jiujiang
lushan quaternary glaciation national geopark
Park
Unesco
National
Important
Mount
Mountain
Jiangxi
Area
Confucianism
China
Beauty
Features
republic of china
Lu
Mount
Jiangxi
Confucianism
Ancient
Features
Important
Summer
Temples
Park
National
Lushan
lushan conference
National
Mount
Park
Mountain
Important
Jiangxi
Area
Unesco
China
Beauty
Features
Jiujiang
romance on lushan mountain
National
Mount
Park
One
Mountain
Important
Jiangxi
Peaks
Sea
Area
Kuling
Unesco
communist china
Lu
Mount
Jiangxi
Confucianism
Ancient
Features
Important
Summer
Temples
Park
National
Lushan
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 Mount Lu, one of the stronger structural bridges in this analysis connects Mount Lu 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
Mount Lu — History· splits 29 ⟂ 44Mount Lu — Overview· splits 54 ⟂ 19Mount Lu — Attractions and features· splits 64 ⟂ 9
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Mount Lu
Nodes73
Edges72
Triples83
Avg. degree1.97
Density0.027397
Components1
Source & methodology
TTTA analyzes the structure around Mount Lu to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Overview & Attractions and features, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
