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Eufrat: Historie, Průběh toku & Vodní režim
Eufrat (arabsky الفرات, Al-Furāt, turecky Fırat, v aramejštině znamená sladká voda) je největší řeka Blízkého východu. Protéká Tureckem (provincie Elazığ, Adıyaman, Gaziantep, Malatya a Şanlıurfa), Sýrií a Irákem (Anbár, Babylón, Nadžaf, Kádisíja, Mutanná, Dhíkár, Basra). Její délka od soutoku zdrojnic je 2 760 km (od pramene Muratu 3065 km), z čehož…
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Eufrat topic overview
The analysis highlights Historie, Průběh toku and Vodní režim as prominent areas in the source structure around Eufrat.
Related topics
100
Source areas
5
Connected nodes
109
Extracted relationships
72
Concept neighborhoods
19
Bridge connections
109
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.
Průběh toku · 34 topics
Historie · 22 topics
Overview · 22 topics
Vodní režim · 13 topics
Využití · 9 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.
Délka toku
2760 km
OpenStreetMap
OSM, WMF
Plocha povodí
673000 km²
Průměrný průtok
818 m³/s
Světadíl
Asie
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Eufrat connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Eufrat shows recurring relationship patterns in the source. For example, Eufrat → Arab, Arménské, Belich, Birecik, Chábúr, Dajr, Díwáníja, Ergani, Erzincan, Eufratu, Falludža, Göksu, Hit, Hlavní, Iráku, Karasu, Kebanská, Kúfa, Malatya, Mezopotámie Another extracted example is Eufrat → Abraháma, Abrama, Abramově, Araratem, Asýrie, Baalův, Babylónie, Celé, Eufratem, Eufratu, Hebrejů, Jeden, Mitrovo, Mohutná, Město Babylón, Povodí Eufratu, Sumer, Sín, Tigridem, Tigridu. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 72 structured relationships around Eufrat. Examples in this analysis include Eufrat → Délka toku → 2760 km and Eufrat → OpenStreetMap → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Eufrat
Délka toku
2760 km
1.00
infobox
Eufrat
OpenStreetMap
OSM, WMF
1.00
infobox
Eufrat
Plocha povodí
673000 km²
1.00
infobox
Eufrat
Průměrný průtok
818 m³/s
1.00
infobox
Eufrat
Světadíl
Asie
1.00
infobox
Eufrat
related to Externí odkazy
Slovníkové
0.60
section
Eufrat
related to Externí odkazy
Wikislovníku Obrázky
0.60
section
Eufrat
related to Externí odkazy
Wikimedia Commons
0.60
section
Eufrat
related to Externí odkazy
Turecká
0.60
section
Eufrat
related to Externí odkazy
Archivováno
0.60
section
Eufrat
related to Externí odkazy
Wayback Machine
0.60
section
Eufrat
related to Historie
Povodí Eufratu
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Eufrat bring nearby vocabulary together. In this analysis, examples include Şanlıurfa, Šatt and Řeky. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
elazığ
Adıyaman
Anbár
Basra
Dhíkár
Gaziantep
Kádisíja
Mutanná
Nadžaf
Provincie
Şanlıurfa
Babylón
Malatya
adıyaman
Anbár
Basra
Dhíkár
Elazığ
Gaziantep
Kádisíja
Mutanná
Nadžaf
Provincie
Şanlıurfa
Babylón
Malatya
anbár
Basra
Dhíkár
Elazığ
Gaziantep
Kádisíja
Mutanná
Nadžaf
Provincie
Şanlıurfa
Babylón
Malatya
Irák
šatt al-arab
Al-arab
Šatt
Irák
Adıyaman
Anbár
Basra
Commons
Dhíkár
Elazığ
Gaziantep
Kádisíja
Mutanná
gaziantep
Anbár
Basra
Dhíkár
Kádisíja
Mutanná
Nadžaf
Provincie
Şanlıurfa
Babylón
Malatya
Irák
Commons
babylón
Basra
Dhíkár
Elazığ
Gaziantep
Kádisíja
Mutanná
Nadžaf
Provincie
Şanlıurfa
Malatya
Irák
Eufratu
malatya
Anbár
Basra
Dhíkár
Kádisíja
Mutanná
Nadžaf
Provincie
Şanlıurfa
Babylón
Irák
Commons
Tigridu
dhíkár
Basra
Elazığ
Gaziantep
Kádisíja
Mutanná
Nadžaf
Provincie
Şanlıurfa
Malatya
Irák
Commons
Tigridu
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Eufrat, one of the stronger structural bridges in this analysis connects Eufrat with Průběh toku. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Eufrat
Nodes110
Edges109
Triples72
Avg. degree1.98
Density0.018182
Components1
Source & methodology
TTTA analyzes the structure around Eufrat to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Průběh toku & Vodní režim, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
