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Jacob Kiplimo: Osobní rekordy & Overview

Jacob Kiplimo (* 14. prosince 2000) je ugandský atlet, závodící na dlouhých tratích. Tento vytrvalec je v současnosti světovým rekordmanem na půlmaratonské trati časem 56:42 minuty. Světový rekord překonal dne 16. 2. 2025 v Barceloně. Na stejné trati v Lisabonu se stal v roce 2020 mistrem světa. Kiplimo je také bronzovým medailistou v běhu na 10 000…

Language: Czech [CS]
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Jacob Kiplimo topic overview

The analysis highlights Osobní rekordy and Overview as prominent areas in the source structure around Jacob Kiplimo.

Related topics
19
Source areas
2
Connected nodes
21
Related term clusters
7
Bridge connections
21

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.

Osobní rekordy · 10 topics
Overview · 9 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.

Tematické okruhy

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Explore all related topics Closing gaps

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.

Overview

Osobní rekordy

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Jacob Kiplimo connects Entity context

See recurring relationship patterns around Jacob Kiplimo before inspecting the individual extracted relationships.

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

min metrů kiplimo běh světový rekord 10 trati světa 2025 2020 2021 jacob 56 42 000 2023 2000 ugandský eugene

Jacob Kiplimo relationships Subject–Predicate–Object triples

TTTA extracted structured relationships around Jacob Kiplimo. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc

Related concept clusters Related term clusters

The concept neighborhoods around Jacob Kiplimo bring nearby vocabulary together. In this analysis, examples include Kiplimo, Atlet and Běh. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Jacob Kiplimo
    • Kiplimo
    • Atlet
    • Běh
    • Dlouhých
    • Kilometrů
    • Min
    • Prosince
    • Současný
    • Tratích
    • Ugandský
    • Závodící
    • Eugene
  • jacob kiplimo
    • Kiplimo
    • Metrů
    • Atlet
    • Běh
    • Dlouhých
    • Kilometrů
    • Min
    • Prosince
    • Současný
    • Tratích
    • Ugandský
    • Závodící
  • současný světový rekord
    • Rekord
    • Světový
    • Běh
    • Dne
    • Kilometrů
    • Min
    • Překonal
    • Současný
    • Jacob
    • Metrů
    • Kiplimo
  • půlmaratonské trati
    • Minuty
    • Rekordmanem
    • Současnosti
    • Světovým
    • Vytrvalec
    • Časem
    • Trati
    • Světa
  • 14. prosince
    • Tratích
    • Ugandský
    • Závodící
  • eugene
    • Metrů
    • Světa
    • Kiplimo
  • ugandský
    • Tratích
    • Závodící

Connections between topic areas Semantic bridges

For Jacob Kiplimo, one of the stronger structural bridges in this analysis connects Jacob Kiplimo with Osobní rekordy. 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
Jacob Kiplimo — Osobní rekordy · splits 11 ⟂ 11
Jacob Kiplimo — Overview · splits 12 ⟂ 10

Map overview Semantic statistics

Jacob Kiplimo

Nodes22
Edges21
Triples0
Avg. degree1.91
Density0.090909
Components1

Source & methodology

TTTA analyzes the structure around Jacob Kiplimo to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Osobní rekordy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Jacob Kiplimo · CS edition · Analysis: TopicsToTalkAbout

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