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The jin (Chinese: 斤; pinyin: jīn) or catty (from Malay kati) is a traditional Chinese unit of mass used across East and Southeast Asia, notably for weighing food and other groceries. Related units include the picul (dan or shi), equal to 100 catties, and the tael (liang), which is 1⁄16 of a catty. The stone (also dan or shi) is a former unit used in Hong…
The analysis highlights History, Community, Culture and Measurement as prominent areas in the source structure around Jin (mass).
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 Jin (mass) shows recurring relationship patterns in the source. For example, Jin (mass) → 0.60478982 kg Another extracted example is Jin (mass) → .mw-parser-output .sfrac{white-space:nowrap}.mw-parser-output .sfrac.tion,.mw-parser-output .sfrac .tion{display:inline-block;vertical-align:-0.5em;font-size:85%;text-align:cent…. 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.
jin chinese unit liang equal hong kong catty units also china used mass system taiwan malaysia singapore measurement pound metric
TTTA extracted 13 structured relationships around Jin (mass). Examples in this analysis include Jin (mass) → Hong Kong → 0.60478982 kg and Jin (mass) → Hong Kong, Malaysia, Singapore → .mw-parser-output .sfrac{white-space:nowrap}.mw-parser-output .sfrac.tion,.mw-parser-output .sfrac .tion{display:inline-block;vertical-align:-0.5em;font-size:85%;text-align:cent…. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Jin (mass) | Hong Kong | 0.60478982 kg | 1.00 | infobox |
| Jin (mass) | Hong Kong, Malaysia, Singapore | .mw-parser-output .sfrac{white-space:nowrap}.mw-parser-output .sfrac.tion,.mw-parser-output .sfrac .tion{display:inline-block;vertical-align:-0.5em;font-size:85%;text-align:cent… | 1.00 | infobox |
| Jin (mass) | Japan, Korea, Taiwan, Thailand | 0.6 kg | 1.00 | infobox |
| Jin (mass) | Mainland China | 0.5 kg | 1.00 | infobox |
| Jin (mass) | Malaysia | 0.60479 kg | 1.00 | infobox |
| Jin (mass) | Singapore | 0.6048 kg | 1.00 | infobox |
| Jin (mass) | Symbol | 斤 | 1.00 | infobox |
| Jin (mass) | Unit of | Mass | 1.00 | infobox |
| Jin (mass) | Unit system | Chinese | 1.00 | infobox |
| Jin (mass) | Vietnam | 0.6045 kg | 1.00 | infobox |
| gold | instance of | Hong Kong troy unitsThese are used for trading precious metals | 0.80 | text |
| silver | instance of | Hong Kong troy unitsThese are used for trading precious metals | 0.80 | text |
The concept neighborhoods around Jin (mass) bring nearby vocabulary together. In this analysis, examples include Liang, Equal and China. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Jin (mass), one of the stronger structural bridges in this analysis connects Jin (mass) 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.
TTTA analyzes the structure around Jin (mass) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community, Culture & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Jin (mass) · EN edition · Analysis: TopicsToTalkAbout