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Mazaeus: Life, Coinage & Overview
Mazaeus or Mazday (Aramaic: 𐡌𐡆𐡃𐡉 MZDY, Greek: Μαζαῖος Mazaios) (died 328 BC) was an Achaemenid Persian noble, satrap (a type of governor) of Cilicia and later satrap of Babylon for the Achaemenid Empire. He retained the satrapy after Babylon was under the rule of Alexander the Great.
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Mazaeus topic overview
The analysis highlights Life, Coinage and Overview as prominent areas in the source structure around Mazaeus.
Related topics
31
Source areas
3
Connected nodes
34
Extracted relationships
41
Concept neighborhoods
16
Bridge connections
34
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.
Life · 18 topics
Coinage · 8 topics
Overview · 5 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.
Allegiance
Achaemenid Empire, Macedonian Empire
Born
385 BC
Died
328 BC (aged 57 years) Babylon
Native name
Mazaios
Rank
Satrap of Cilicia (under the Achaemenids) Satrap of Babylon (under Alexander the Great)
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 Mazaeus 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 Mazaeus shows recurring relationship patterns in the source. For example, Mazaeus → Alexander, Armenian, Arsames, At, Battle, Cappadocian, Cilicia, Gaugamela, Great, His, Hyrcanian, Median, Mesopotamian, Parthian, Persian, Sacesinian, Sacian, Syrian, Tapurian Another extracted example is Mazaeus → Aramaic, Artaxerxes III, Artaxerxes IV, Babylon, BC, Cilicia, Cilicia Silver, Circa, Coin, Coinage, Mazaios, Myriandrus, Pharaoh, Pharaohs, Satrap, Sidon, Tarsos. 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 41 structured relationships around Mazaeus. Examples in this analysis include Mazaeus → Allegiance → Achaemenid Empire, Macedonian Empire and Mazaeus → Born → 385 BC. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Mazaeus
Allegiance
Achaemenid Empire, Macedonian Empire
1.00
infobox
Mazaeus
Born
385 BC
1.00
infobox
Mazaeus
Died
328 BC (aged 57 years) Babylon
1.00
infobox
Mazaeus
Native name
Mazaios
1.00
infobox
Mazaeus
Rank
Satrap of Cilicia (under the Achaemenids) Satrap of Babylon (under Alexander the Great)
1.00
infobox
Mazaeus
related to Coinage
Tarsos
0.60
section
Mazaeus
related to Coinage
Sidon
0.60
section
Mazaeus
related to Coinage
Babylon
0.60
section
Mazaeus
related to Coinage
Coinage
0.60
section
Mazaeus
related to Coinage
Satrap
0.60
section
Mazaeus
related to Coinage
Cilicia Silver
0.60
section
Mazaeus
related to Coinage
Cilicia
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 Mazaeus bring nearby vocabulary together. In this analysis, examples include Babylon, Satrap and Coinage. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Mazaeus
Babylon
Satrap
Coinage
Bc
Mazaios
Achaemenid
Empire
Governor
Later
Minted
Name
Cilicia
mazaeus
Babylon
Satrap
Coinage
Bc
Mazaios
Achaemenid
Empire
Governor
Later
Minted
Name
Cilicia
achaemenid
Empire
Governor
Died
Persian
Greek
Mzdy
Noble
Μαζαῖος
𐡌𐡆𐡃𐡉
Aramaic
Later
Macedonian
cilicia
Satrap
0-334
Empire
Governor
Mazaios
Died
Great
Persian
Tarsos
Mazaeus
Coin
Coinage
babylon
Mazaeus
Satrap
Coinage
Alexander
Bc
Mazaios
Empire
Governor
Hellenistic
Macedonian
Satrapy
Died
alexander the great
Great
Babylon
Macedonian
Satrapy
Successor
Name
Persian
Coin
Cilicia
Coinage
Mazaeus
Satrap
alexander sarcophagus
Great
Babylon
Macedonian
Satrapy
Successor
Cilicia
Mazaeus
Satrap
Darius
Empire
Governor
Hellenistic
aramaic
Mazday
Greek
Mzdy
Noble
Μαζαῖος
𐡌𐡆𐡃𐡉
Achaemenid
Empire
Governor
Later
Sidon
Mazaios
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 Mazaeus, one of the stronger structural bridges in this analysis connects Mazaeus with Life. 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.
Mazaeus
Nodes35
Edges34
Triples41
Avg. degree1.94
Density0.057143
Components1
Source & methodology
TTTA analyzes the structure around Mazaeus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Life, Coinage & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
