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Silhadi: Career & Regions
Raja Shiladitya Tomar, also called Silhadi Tomar (died 6 May 1532), was a chieftain of northeast Malwa in the early decades of 16th century India. He become vassal of Sanga of Mewar and remained as an ally and Sanga helped him and Medini Rai in various battles and in conquering Malwa from Sultans.
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Silhadi topic overview
The analysis highlights Career and Regions as prominent areas in the source structure around Silhadi.
Related topics
24
Source areas
4
Connected nodes
32
Extracted relationships
83
Concept neighborhoods
16
Bridge connections
32
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.
Early life · 11 topics
Military career · 9 topics
Death · 2 topics
Overview · 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.
Allegiance
Malwa Sultanate Kingdom of Mewar Mughal Empire (1528–1532)
Born
Malwa Sultanate
Conflicts
Battle of Bayana Battle of Khanwa (AWOL)
Died
(1532-05-06)6 May 1532 Dhar, Malwa Sultanate
Rank
Chieftain
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 Silhadi 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 Silhadi shows recurring relationship patterns in the source. For example, Silhadi → According, After, Along, At, Bahadur Shah, Bhilsa, Both Silhadi, But, Chanderi, Dirk, Gujarat, Gujarati Army, He, India, Islam, Kolff, Mahmood’s, Majumadar, Malwa, Malwa Sultanate Another extracted example is Silhadi → At, Bahadur Shah, Bahadur Shah’s, Bahádur, But, But Silhadi, By, Chitor, Dhár, God, Gujarat, Gujarati, In, Islam, Islám, Kolff, Lakshman, Málwa, On, Raisen. 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 83 structured relationships around Silhadi. Examples in this analysis include Silhadi → Allegiance → Malwa Sultanate Kingdom of Mewar Mughal Empire (1528–1532) and Silhadi → Born → Malwa Sultanate. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Silhadi
Allegiance
Malwa Sultanate Kingdom of Mewar Mughal Empire (1528–1532)
1.00
infobox
Silhadi
Born
Malwa Sultanate
1.00
infobox
Silhadi
Conflicts
Battle of Bayana Battle of Khanwa (AWOL)
1.00
infobox
Silhadi
Died
(1532-05-06)6 May 1532 Dhar, Malwa Sultanate
1.00
infobox
Silhadi
Rank
Chieftain
1.00
infobox
Silhadi
related to Death
In
0.60
section
Silhadi
related to Death
Bahadur Shah
0.60
section
Silhadi
related to Death
Gujarat
0.60
section
Silhadi
related to Death
Dhár
0.60
section
Silhadi
related to Death
Sultán Násir-ud-dín
0.60
section
Silhadi
related to Death
Málwa
0.60
section
Silhadi
related to Death
Bahádur
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 Silhadi bring nearby vocabulary together. In this analysis, examples include Rana, Malwa and Islam. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Silhadi
Rana
Malwa
Islam
Bahadur
Sanga
Mewar
Sultan
Died
Gujarat
Kept
Mentions
Rai
silhadi
Rana
Malwa
Islam
Bahadur
Sanga
Mewar
Sultan
Died
Gujarat
Kept
Mentions
Rai
mewar
Kingdom
Son
Rai
Rana
Sanga
Silhadi
Life
Mentions
Military
Much
Sultanate
Tomar
malwa
Medini
Rai
Sanga
Mewar
Early
Kingdom
Silhadi
Sultanate
Tomar
Life
Military
Region
tomar rajput
Chieftain
Early
Died
Kingdom
Life
Malwa
Military
Sultanate
Force
India
Rajput
Son
malwa sultanate
Medini
Rai
Sanga
Mewar
Early
Kingdom
Silhadi
Sultanate
Tomar
History
Rajput
Sultan
raisen
Fort
Gujarat
Shah
Bahadur
Sultan
Silhadi
Camp
Kept
Kolff
Mentions
Region
Islam
bahadur shah
Shah
Gujarat
Kept
Camp
Kolff
Mentions
Islam
Fort
Raisen
Silhadi
Sent
Women
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 Silhadi, one of the stronger structural bridges in this analysis connects Silhadi with Early 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.
Silhadi
Nodes33
Edges32
Triples83
Avg. degree1.94
Density0.060606
Components1
Source & methodology
TTTA analyzes the structure around Silhadi to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
