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Black September: Overview, Aftermath & General and cited sources
Black September (Arabic: أيلول الأسود, romanized: Aylūl al-ʾAswad), also known as the Jordanian Civil War, was an armed conflict between Jordan, led by King Hussein, and the Palestine Liberation Organization (PLO), led by chairman Yasser Arafat. The main phase of the fighting took place between 16 and 27 September 1970, though certain aspects of the…
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Black September topic overview
The analysis highlights Overview, Aftermath and General and cited sources as prominent areas in the source structure around Black September.
Related topics
147
Source areas
3
Connected nodes
150
Extracted relationships
68
Concept neighborhoods
44
Bridge connections
150
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.
Overview · 134 topics
Aftermath · 8 topics
General and cited sources · 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.
Location
Jordan
Date
Syrian invasion repelled · Palestinian militants expelled to Lebanon · Formation of the Black September Organization · 6 September 1970 – 23 July 1971 (10 months, 2 weeks and 3 days)
Result
Syrian invasion repelled · Palestinian militants expelled to Lebanon · Formation of the Black September Organization
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 Black September 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 Black September shows recurring relationship patterns in the source. For example, Black September → Ahron, Avi, Bregman, Columbia University Press, David, December, Henry, Hijackings, History Since, Infamous, ISBN, Israel's Wars, Joel, Jordan, Kamal, King Hussein, Kissinger, Lion, London, Middle East Another extracted example is Black September → Arab League, Egypt, Fatah, Israeli, Jordan, Middle East, Munich, November, On, PLO, Prime Minister Wasfi Tal, September, Sheraton Cairo Hotel, The, The Black September Organization, Western, Yom Kippur War. Use these groups to spot repeated connection types before inspecting the individual relationships.
Black September
Top relations
related to General and cited sources· 40
Black September → Ahron, Avi, Bregman, Columbia University Press, David, December, Henry, Hijackings, History Since, Infamous, ISBN, Israel's Wars, Joel, Jordan, Kamal, King Hussein, Kissinger, Lion, London, Middle East
related to Fedayeen· 17
Black September → Arab League, Egypt, Fatah, Israeli, Jordan, Middle East, Munich, November, On, PLO, Prime Minister Wasfi Tal, September, Sheraton Cairo Hotel, The, The Black September Organization, Western, Yom Kippur War
Date· 4
Black September → 6 September 1970 – 23 July 1971 (10 months, 2 weeks and 3 days), Formation of the Black September Organization, Palestinian militants expelled to Lebanon, Syrian invasion repelled
Result· 3
Black September → Formation of the Black September Organization, Palestinian militants expelled to Lebanon, Syrian invasion repelled
related to External links· 2
Black September → Black September1976, Footage
Location· 1
Black September → Jordan
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Black September relationships Subject–Predicate–Object triples
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 68 structured relationships around Black September. Examples in this analysis include Black September → Date → Syrian invasion repelled and Black September → Date → Palestinian militants expelled to Lebanon. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Black September
Date
Syrian invasion repelled
1.00
infobox
Black September
Date
Palestinian militants expelled to Lebanon
1.00
infobox
Black September
Date
Formation of the Black September Organization
1.00
infobox
Black September
Date
6 September 1970 – 23 July 1971 (10 months, 2 weeks and 3 days)
1.00
infobox
Black September
Location
Jordan
1.00
infobox
Black September
Result
Syrian invasion repelled
1.00
infobox
Black September
Result
Palestinian militants expelled to Lebanon
1.00
infobox
Black September
Result
Formation of the Black September Organization
1.00
infobox
Mahmoud Da'as
instance of
including ranking officers
0.80
text
Black September
related to External links
Footage
0.60
section
Black September
related to External links
Black September1976
0.60
section
Black September
related to Fedayeen
The Black September Organization
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 Black September bring nearby vocabulary together. In this analysis, examples include September, Organization and Events. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Black September
September
Organization
Events
Fatah
Conflict
Jordanian
War
Plo
Liberation
Palestine
Attacks
Hussein
black september
September
Organization
Events
Fatah
Plo
Conflict
Jordanian
War
Amman
Jordan
Liberation
Palestine
jordan
Fedayeen
Israel
Plo
War
Israeli
Army
September
Hussein
Amman
Palestinian
Events
Jordanian
king hussein
Fedayeen
Hussein
King
Would
Jordan
Palestine
September
Hussein's
Palestinian
Arab
Israel
War
palestine liberation organization
Liberation
Palestine
Attacks
Pflp
Fatah
Two
War
Began
September
Syrian
Organization
One
yasser arafat
Pflp
Plo
Amman
Arab
Hussein
Liberation
Organization
Palestine
Nasser
Israel
Jordanian
Black
palestinian fedayeen
Army
Jordan
Attacks
Hussein
Jordanian
Amman
Plo
Would
Israeli
Arab
September
War
jordanian army
Fedayeen
Army
Jordanian
Amman
Plo
Attacks
Jordan
September
Palestinian
Palestinians
Around
Would
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 Black September, one of the stronger structural bridges in this analysis connects Black September with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Black September — Overview· splits 16 ⟂ 135Black September — Aftermath· splits 142 ⟂ 9Black September — General and cited sources· splits 145 ⟂ 6
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Black September
Nodes151
Edges150
Triples68
Avg. degree1.99
Density0.013245
Components1
Source & methodology
TTTA analyzes the structure around Black September to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Aftermath & General and cited sources, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
