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Leskovik: History & Measurement
Leskovik (Albanian: Leskoviku) is a town in Korçë County, in southeastern Albania. Historically, until 2015, it was a municipality, after which it became a municipal unit of Kolonjë. Leskovik is located 1 kilometre (0.62 mi) from Melesin mountain. The town is located close to the Greek–Albanian border. The population as of the 2023 census is 399.
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Leskovik topic overview
The analysis highlights History and Measurement as prominent areas in the source structure around Leskovik.
Related topics
61
Source areas
4
Connected nodes
76
Extracted relationships
77
Concept neighborhoods
28
Bridge connections
76
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.
History · 20 topics
Notable people · 19 topics
Overview · 19 topics
Name · 3 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.
Area Code
(0)871
Country
Albania
County
Korçë
Elevation
913 m (2,995 ft)
Municipality
Kolonjë
Postal Code
7402
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 Leskovik 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 Leskovik shows recurring relationship patterns in the source. For example, Leskovik → After, Albania, Albanian, Albanians, Autonomous Republic, Balkan Wars, December, During, February, Florence, Greece, Greek, Greeks, In March, Kingdom, Kolonjë, Konitsa, Northern Epirus, Principality, Protocol Another extracted example is Leskovik → Abedin Baba, Albanian, Albanian People, Asllan Rusi, Bektashi, Central Committee, Defence, Hafize Leskoviku, Jani Vreto, Leskoviku, Muço Qulli, Naim Frashëri, Ottoman, PopulliAjdin Asllan, Postenan, Qulli, Rights, Shkodër-based, Tirana, Vatra. 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 77 structured relationships around Leskovik. Examples in this analysis include Leskovik → Area Code → (0)871 and Leskovik → Country → Albania. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Leskovik
Area Code
(0)871
1.00
infobox
Leskovik
Country
Albania
1.00
infobox
Leskovik
County
Korçë
1.00
infobox
Leskovik
Elevation
913 m (2,995 ft)
1.00
infobox
Leskovik
Municipality
Kolonjë
1.00
infobox
Leskovik
Postal Code
7402
1.00
infobox
Leskovik
Time zone
UTC+1 (CET)
1.00
infobox
Leskovik
• Administrative unit
3.64 km2 (1.41 sq mi)
1.00
infobox
Leskovik
• Administrative unit
939
1.00
infobox
Leskovik
• Administrative unit density
258/km2 (668/sq mi)
1.00
infobox
Leskovik
• Summer (DST)
UTC+2 (CEST)
1.00
infobox
Leskovik
related to 20th century
During
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 Leskovik bring nearby vocabulary together. In this analysis, examples include Town, Ottoman and Local. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Leskovik
Town
Ottoman
Local
Area
Bektashi
Greek
Administrative
Christians
Period
Albania
Muslim
Greece
leskovik
Town
Ottoman
Local
Area
Bektashi
Greek
Administrative
Christians
Period
Albania
Muslim
Greece
battle of leskovik
Town
Ottoman
Local
Area
Bektashi
Greek
Administrative
Christians
Period
Albania
Muslim
Greece
albanian
Muslim
Leskovik
Greek
Town
Local
Boundaries
Christians
Korçë
Albania
Border
Greece
Bektashi
albanian partisans
Muslim
Leskovik
Greek
Town
Local
Boundaries
Christians
Korçë
Albania
Border
Greece
Bektashi
albania was invaded by germany
Greek
War
Greece
Town
Leskovik
Kolonjë
Korçë
Northern
Epirus
Albanian
History
Ottoman
people's socialist republic of albania
Greek
War
Greece
Town
Leskovik
Kolonjë
Korçë
Northern
Epirus
Albanian
History
Ottoman
principality of albania
Greek
War
Greece
Town
Leskovik
Kolonjë
Korçë
Northern
Epirus
Albanian
History
Ottoman
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 Leskovik, one of the stronger structural bridges in this analysis connects Leskovik with History. 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.
Leskovik
Nodes77
Edges76
Triples77
Avg. degree1.97
Density0.025974
Components1
Source & methodology
TTTA analyzes the structure around Leskovik to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
