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33°46′00″N 113°11′33″E / 33.7666°N 113.1926°E / 33.7666; 113.1926
The analysis highlights Geography, Community, Politics and Economy as prominent areas in the source structure around Pingdingshan.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Pingdingshan shows recurring relationship patterns in the source. For example, Pingdingshan → AAA, AAAA, Henan, Home, It, Located, Lushan County, Ma Street Book Club, Mount Yao, National, Originally, Qizu PagodaPingdingshan MuseumRuguan Kiln, Ruins Museum, Sansu Tombs, Spring Temple Buddha, The, There, Three Gorges, Valley, Xiangshan Temple Another extracted example is Pingdingshan → Access China White Paper, Anshan, CHAMPS, China, China Pingmei Shenma Group, Chinese, Chongqing, Economist Intelligence Unit, GDP, Hefei, Maanshan, Major, November, Pingdingshan's, Pinggao Group, RMB, Shenyang, The, Tianrui Cement, Wugang Company. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
city china henan chinese city's ethnic zh area county committee also billion located eagle prefecture-level province municipal secretary people total
TTTA extracted 170 structured relationships around Pingdingshan. Examples in this analysis include Pingdingshan → Area code → 0375 and Pingdingshan → Country → People's Republic of China. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pingdingshan | Area code | 0375 | 1.00 | infobox |
| Pingdingshan | Country | People's Republic of China | 1.00 | infobox |
| Pingdingshan | County-level divisions | 10 | 1.00 | infobox |
| Pingdingshan | ISO 3166 code | CN-HA-04 | 1.00 | infobox |
| Pingdingshan | License plate prefixes | 豫D | 1.00 | infobox |
| Pingdingshan | Major Nationalities | Han, Hui | 1.00 | infobox |
| Pingdingshan | Municipal seat | Xinhua District | 1.00 | infobox |
| Pingdingshan | Postal code | 467000 | 1.00 | infobox |
| Pingdingshan | Province | Henan | 1.00 | infobox |
| Pingdingshan | Time zone | UTC+8 (China Standard) | 1.00 | infobox |
| Pingdingshan | Township-level divisions | 124 | 1.00 | infobox |
| Pingdingshan | Website | www.pds.gov.cn | 1.00 | infobox |
| Pingdingshan | • Density | 633.4/km2 (1,640/sq mi) | 1.00 | infobox |
| Pingdingshan | • Metro | 1,771 km2 (684 sq mi) | 1.00 | infobox |
| Pingdingshan | • Metro | 1,756,333 | 1.00 | infobox |
| Pingdingshan | • Metro density | 991.7/km2 (2,569/sq mi) | 1.00 | infobox |
| Pingdingshan | • Per capita | CN¥ 36,708 US$ 5,526 | 1.00 | infobox |
| Pingdingshan | • Prefecture-level city | 7,874 km2 (3,040 sq mi) | 1.00 | infobox |
| Pingdingshan | • Prefecture-level city | 4,987,137 | 1.00 | infobox |
| Pingdingshan | • Prefecture-level city | CN¥ 182.5 billion US$ 27.5 billion | 1.00 | infobox |
| Pingdingshan | • Secretary of Municipal Committee of the CPC | Deng Yongjian | 1.00 | infobox |
| Pingdingshan | • Urban | 384 km2 (148 sq mi) | 1.00 | infobox |
| Pingdingshan | • Urban | 979,130 | 1.00 | infobox |
| Pingdingshan | • Urban density | 2,550/km2 (6,600/sq mi) | 1.00 | infobox |
| Pingdingshan | is a | Hui people | 0.90 | text |
The concept neighborhoods around Pingdingshan bring nearby vocabulary together. In this analysis, examples include China, Henan and Ethnic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pingdingshan, one of the stronger structural bridges in this analysis connects Pingdingshan with Economy. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Pingdingshan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Geography, Community, Politics & Economy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pingdingshan · EN edition · Analysis: TopicsToTalkAbout