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Sankissa: Geography & Regions
Sankissa (also Sankasia, Sankassa and Sankasya) is an ancient city in India renown for the descent of Gautama Buddha from the Tushita heavens where he taught his mother before landing at Sankissa. Considered among the eight great pilgrimage sites, it was thirty leagues from Sravasti. Around 300 years after the Gautama Buddha's Mahaparinirvana, king…
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Sankissa topic overview
The analysis highlights Geography and Regions as prominent areas in the source structure around Sankissa.
Related topics
49
Source areas
4
Connected nodes
53
Extracted relationships
54
Concept neighborhoods
14
Bridge connections
53
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.
The Buddha's return at Sankissa · 22 topics
Overview · 14 topics
Architecture · 12 topics
Location · 1 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.
Location
Farrukhabad district, Uttar Pradesh, India.
Type
Settlement
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 Sankissa 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 Sankissa shows recurring relationship patterns in the source. For example, Sankissa → Abhidhamma Pitaka, Anuruddha, As, At, Avici, Brahma, Buddha, Buddha's, Culla Anathapindika, Dhamma, Events, His, Indra, It, Maha Brahma, Mahapavarana, Mahá Brahmá, Moggallana, Mount Meru, Mátali Another extracted example is Sankissa → Aggalapura, Buddha, Buddha's, Chinese, During, Faxian, Kannakujja, Revata Thera, Sahajati, Soreyya, Suhemanta Thera, The, There, Udumbara, Vajjiputta, When, Xuanzang. 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 54 structured relationships around Sankissa. Examples in this analysis include Sankissa → Location → Farrukhabad district, Uttar Pradesh, India. and Sankissa → Type → Settlement. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Sankissa
Location
Farrukhabad district, Uttar Pradesh, India.
1.00
infobox
Sankissa
Type
Settlement
1.00
infobox
Sankissa
related to Architecture
Buddha's
0.60
section
Sankissa
related to Architecture
When
0.60
section
Sankissa
related to Architecture
Chinese
0.60
section
Sankissa
related to Architecture
Xuanzang
0.60
section
Sankissa
related to Architecture
Faxian
0.60
section
Sankissa
related to Architecture
There
0.60
section
Sankissa
related to Architecture
Suhemanta Thera
0.60
section
Sankissa
related to Architecture
Buddha
0.60
section
Sankissa
related to Architecture
During
0.60
section
Sankissa
related to Architecture
Vajjiputta
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 Sankissa bring nearby vocabulary together. In this analysis, examples include Buddha's, Preaching and Mother. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
gautama buddha
Sankissa
King
Mother
Sankassa
Sankasya
Buddha's
Capital
Heavens
Taught
Descent
Sravasti
Ashoka
the buddha's return at sankissa
Built
Descent
King
Capital
Right
Ashoka
Earth
Elephant
Location
Moggallana
Pillars
Buddha's
Sankissa
Buddha's
Preaching
Mother
Location
Return
Elephant
Pradesh
Sravasti
Uttar
Kannauj
North
Ruins
sankissa
Buddha's
Preaching
Mother
Location
Return
Elephant
Pradesh
Sravasti
Uttar
Kannauj
North
Ruins
ashoka
Pillars
Capital
Location
Elephant
Pradesh
Uttar
India
Buddha's
Gautama
King
District
Farrukhabad
pillar of ashoka
Pillars
Capital
Location
Elephant
Pradesh
Uttar
India
Buddha's
Gautama
King
District
Farrukhabad
uttar pradesh
Pradesh
Uttar
India
District
Farrukhabad
Location
Pillars
Ashoka
Kannauj
North
Capital
Return
farrukhabad district
District
Farrukhabad
Pradesh
Uttar
India
Kannauj
North
Location
Pillars
Right
Sankissa
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 Sankissa, one of the stronger structural bridges in this analysis connects Sankissa with The Buddha's return at Sankissa. 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.
Sankissa
Nodes54
Edges53
Triples54
Avg. degree1.96
Density0.037037
Components1
Source & methodology
TTTA analyzes the structure around Sankissa to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Geography & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
