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Jákob (hebrejsky יַעֲקֹב, Ja'akov) zvaný též Izrael či Ješurún je třetí praotec izraelského národa. Jákob byl synem Izáka a Rebeky a otcem dvanácti synů (Rúben, Šimeón, Lévi, Juda, Dan, Neftalí, Gád, Ašer, Isachar, Zabulón, Josef, Benjamín), z nichž povstalo dvanáct kmenů Izraele. Měl i dceru Dínu. Podle Tóry žil 147 let.
The analysis highlights Život, Overview and Historické zařazení as prominent areas in the source structure around Jákob.
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 Jákob shows recurring relationship patterns in the source. For example, Jákob → Bejt Elu, Bételu, Bůh, Cháranu, Cyklus, Ezau, Ezaua, Ezauovi, Genesis, Izák, Izák Jákobovi, Izáka, Izákovo, Jákoba, Jákobovi, Když Jákob, Leu, Lában, Lában Jákobovi, Lábanovi Another extracted example is Jákob → Bohem, Bůh, Egypta, Egyptě, Ezauem, Ezauovu, Genesis, Gn, Hebronu, Izrael, Izraele, Izraelity, Jeho, Jisra'el, Josefem, Jákoba, Jákobovi, Jákobův, Kanaánu, Lábana. 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.
jákobovi ráchel jméno př mu syny lea izák let juda isachar zabulón josef jako jeho izrael narození bude dva izraele
TTTA extracted 128 structured relationships around Jákob. Examples in this analysis include Jákob → Choť → Lea Bilha Ráchel Zilpa and Jákob → Děti → Šimeon Juda Isachar Zabulón Dína Josef (patriarcha) … více na Wikidatech. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Jákob | Choť | Lea Bilha Ráchel Zilpa | 1.00 | infobox |
| Jákob | Děti | Šimeon Juda Isachar Zabulón Dína Josef (patriarcha) … více na Wikidatech | 1.00 | infobox |
| Jákob | Funkce | prorok patriarcha | 1.00 | infobox |
| Jákob | Místo pohřbení | Jeskyně patriarchů | 1.00 | infobox |
| Jákob | Narození | 1791 př. n. l. Kanaán | 1.00 | infobox |
| Jákob | Povolání | pastevec a prorok | 1.00 | infobox |
| Jákob | Příbuzní | Ezau (bratr) Jemuel, Jamin, Ohad, Jakin, Zohar a Shaul (vnoučata) | 1.00 | infobox |
| Jákob | Rodiče | Izák a Rebeka | 1.00 | infobox |
| Jákob | Úmrtí | 1644 př. n. l. (ve věku 146–147 let) starověký Egypt | 1.00 | infobox |
| Jákob | related to Cesta zpět a změna jména | Po | 0.60 | section |
| Jákob | related to Cesta zpět a změna jména | Lábana | 0.60 | section |
| Jákob | related to Cesta zpět a změna jména | Lábanem | 0.60 | section |
The concept neighborhoods around Jákob bring nearby vocabulary together. In this analysis, examples include Ráchel, Izraele and Ašer. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Jákob, one of the stronger structural bridges in this analysis connects Jákob 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 Jákob to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život, Overview & Historické zařazení, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Jákob · CS edition · Analysis: TopicsToTalkAbout