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Sin Sukchu (Korean: 신숙주; Hanja: 申叔舟; August 2, 1417 – July 23, 1475) was a Korean politician during the Joseon period. He served as Prime Minister from 1461 to 1466 and again from 1471 to 1475. He came from the Goryeong Sin clan (고령 신씨; 高靈 申氏).
The analysis highlights Culture, Popular culture and Family as prominent areas in the source structure around Sin Sukchu.
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 Sin Sukchu shows recurring relationship patterns in the source. For example, Sin Sukchu → 문충, 범옹, 신숙주, 희현당, 보한재 Another extracted example is Sin Sukchu → 希賢堂, 保閑齋, 文忠, 泛翁, 申叔舟. 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.
sin hangul korean chinese sukchu 1475 served accurate mandarin hanja chŏng 신숙주 申叔舟 joseon 1417 23 goryeong clan 고령 신씨
TTTA extracted 27 structured relationships around Sin Sukchu. Examples in this analysis include Sin Sukchu → Born → (1417-08-02)August 2, 1417 and Sin Sukchu → Died → July 23, 1475(1475-07-23) (aged 57). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sin Sukchu | Born | (1417-08-02)August 2, 1417 | 1.00 | infobox |
| Sin Sukchu | Died | July 23, 1475(1475-07-23) (aged 57) | 1.00 | infobox |
| Sin Sukchu | Hangul | 신숙주 | 1.00 | infobox |
| Sin Sukchu | Hangul | 희현당, 보한재 | 1.00 | infobox |
| Sin Sukchu | Hangul | 범옹 | 1.00 | infobox |
| Sin Sukchu | Hangul | 문충 | 1.00 | infobox |
| Sin Sukchu | Hanja | 申叔舟 | 1.00 | infobox |
| Sin Sukchu | Hanja | 希賢堂, 保閑齋 | 1.00 | infobox |
| Sin Sukchu | Hanja | 泛翁 | 1.00 | infobox |
| Sin Sukchu | Hanja | 文忠 | 1.00 | infobox |
| Sin Sukchu | MR | Sin Sukchu | 1.00 | infobox |
| Sin Sukchu | MR | Hŭihyŏndang, Pohanjae | 1.00 | infobox |
| Sin Sukchu | MR | Pŏmong | 1.00 | infobox |
| Sin Sukchu | MR | Munch'ung | 1.00 | infobox |
| Sin Sukchu | Preceded by | Yun Chaun | 1.00 | infobox |
| Sin Sukchu | Preceded by | Chŏng Ch'angson | 1.00 | infobox |
| Sin Sukchu | Preceded by | Kang Maenggyŏng | 1.00 | infobox |
| Sin Sukchu | RR | Sin Sukju | 1.00 | infobox |
| Sin Sukchu | RR | Huihyeondang, Bohanjae | 1.00 | infobox |
| Sin Sukchu | RR | Beomong | 1.00 | infobox |
| Sin Sukchu | RR | Munchung | 1.00 | infobox |
| Sin Sukchu | Succeeded by | Chŏng Ch'angson | 1.00 | infobox |
| Sin Sukchu | Succeeded by | Ku Ch'igwan | 1.00 | infobox |
| Sin Sukchu | Succeeded by | Kwŏn Ram | 1.00 | infobox |
The concept neighborhoods around Sin Sukchu bring nearby vocabulary together. In this analysis, examples include Sukchu, 15th and Accurate. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Sin Sukchu, one of the stronger structural bridges in this analysis connects Sin Sukchu 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 Sin Sukchu to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Culture, Popular culture & Family, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Sin Sukchu · EN edition · Analysis: TopicsToTalkAbout