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Terach: Terachova modloslužba, Odkazy & Overview

Terach (hebrejsky תרח‎) je biblická postava Starého zákona. Jeho otcem je podle bible Náchor. Terach se Náchorovi narodil, když mu bylo 29 let. Terachovým dědečkem byl Serúg. Terach měl tři syny Abrama, Náchora a Hárana. Otec Abraháma, osmá generace od Šéma. (Lk 3:34; 1Mo 11:10–24; 1Pa 1:24–26)

Language: Czech [CS]
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Terach topic overview

The analysis highlights Terachova modloslužba, Odkazy and Overview as prominent areas in the source structure around Terach.

Related topics
19
Source areas
3
Connected nodes
22
Extracted relationships
18
Concept neighborhoods
9
Bridge connections
22

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.

Overview · 10 topics
Terachova modloslužba · 7 topics
Odkazy · 2 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.

Bydliště
Ur Harran
Choť
Amasla
Děti
Abrahám Náchor Sára Háran
Místo pohřbení
Harran
Narození
1883 př. n. l.
Příbuzní
Izmael, Izák, Zimrán, Jokšán, Medán, Midján, Jišbak, Šúach a Bakol (vnoučata)

Explore all related topics Closing gaps

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.

Overview

Terachova modloslužba

Odkazy

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Terach connects Entity context

The extracted context around Terach shows recurring relationship patterns in the source. For example, Terach → Hospodinu, Joz, Jozue, Kral Another extracted example is Terach → Abrahamovi, Hospodin, Hospodina, Teracha. Use these groups to spot repeated connection types before inspecting the individual relationships.

Terach

Top relations

related to Terachova modloslužba · 4
Terach → Hospodinu, Joz, Jozue, Kral
related to Vývoj vztahu Abrahama a Teracha · 4
Terach → Abrahamovi, Hospodin, Hospodina, Teracha
related to Externí odkazy · 2
Terach → Obrázky, Wikimedia Commons
Bydliště · 1
Terach → Ur Harran
Choť · 1
Terach → Amasla
Děti · 1
Terach → Abrahám Náchor Sára Háran
Místo pohřbení · 1
Terach → Harran
Narození · 1
Terach → 1883 př. n. l.
Příbuzní · 1
Terach → Izmael, Izák, Zimrán, Jokšán, Medán, Midján, Jišbak, Šúach a Bakol (vnoučata)
Rodiče · 1
Terach → Náchor

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

11 1mo 24 let náchora svých děti hárana abraháma náchor abrahám commons jeho narodil 29 měl 1pa synů 28

Terach relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around Terach. Examples in this analysis include Terach → Bydliště → Ur Harran and Terach → Choť → Amasla. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
TerachBydlištěUr Harran1.00infobox
TerachChoťAmasla1.00infobox
TerachDětiAbrahám Náchor Sára Háran1.00infobox
TerachMísto pohřbeníHarran1.00infobox
TerachNarození1883 př. n. l.1.00infobox
TerachPříbuzníIzmael, Izák, Zimrán, Jokšán, Medán, Midján, Jišbak, Šúach a Bakol (vnoučata)1.00infobox
TerachRodičeNáchor1.00infobox
TerachÚmrtí1678 př. n. l. (ve věku 204–205 let) Haran1.00infobox
Terachrelated to Externí odkazyObrázky0.60section
Terachrelated to Externí odkazyWikimedia Commons0.60section
Terachrelated to Terachova modloslužbaJoz0.60section
Terachrelated to Terachova modloslužbaKral0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Terach bring nearby vocabulary together. In this analysis, examples include Commons, Hospodina and Háran. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • abrahám
    • Abrahama
    • Chybí
    • Commons
    • Hospodina
    • Háran
    • Mu
    • Narodil
    • Náchor
    • Prvorozený
    • Svých
    • Synů
    • Sára
  • náchora
    • Hárana
    • 1mo
    • Děti
    • 1pa
    • Abraháma
    • Jehož
    • Terach
    • Uru
    • Chybí
    • Hospodina
    • Háran
    • Prvorozený
  • hospodina
    • Háran
    • Jehož
    • Uru
    • Commons
    • Jeho
    • Mu
    • Náchor
    • Prvorozený
    • Sára
    • Terachova
    • Ur
    • Věku
  • Terach
    • Commons
    • Hospodina
    • Háran
    • Ur
    • Zdroj
    • Jozue
    • Jehož
    • Uru
    • Náchor
    • Sára
    • Terachova
    • Věku
  • terach
    • Commons
    • Hospodina
    • Háran
    • Ur
    • Zdroj
    • Jozue
    • Jehož
    • Uru
    • Náchor
    • Sára
    • Terachova
    • Věku
  • hárana
    • Měl
    • Náchora
    • 1pa
    • Abraháma
    • Svých
    • Synů
    • Teprve
    • 1mo
    • Děti
    • Terach
    • Let
  • náchor
    • Commons
    • Sára
    • Ur
    • Jozue
    • Terach
  • jozue
    • Mu
    • Náchor
    • Sára
    • Ur
    • Terach

Connections between topic areas Semantic bridges

For Terach, one of the stronger structural bridges in this analysis connects Terach 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.

Min side: 3
TerachOverview · splits 12 ⟂ 11
TerachTerachova modloslužba · splits 15 ⟂ 8
TerachOdkazy · splits 20 ⟂ 3

Map overview Semantic statistics

Terach

Nodes23
Edges22
Triples18
Avg. degree1.91
Density0.086957
Components1

Source & methodology

TTTA analyzes the structure around Terach to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Terachova modloslužba, Odkazy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Terach · CS edition · Analysis: TopicsToTalkAbout

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