Man denies attempted murder of 10 people on train
•Man denies attempted murder of 10 people on trainPublished9 July 2026, 11:33 BSTUpdated 2 minutes agoA man has denied the attempted murder of 10 people who were stabbed on a train.Passengers were seri...
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هذا الخبر من BBC News. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.
Man denies attempted murder of 10 people on trainPublished9 July 2026, 11:33 BSTUpdated 2 minutes agoA man has denied the attempted murder of 10 people who were stabbed on a train.Passengers were seriously injured on the LNER service which was travelling from Doncaster to London King's Cross, shortly after it called at Peterborough on 1 November.Anthony Williams, 33, from Langford Road in Peterborough, appeared at Cambridge Crown Court, where he entered his pleas via video link.He also pleaded not guilty to 11 other offences, including four more attempted murder charges related to other attacks in Peterborough and east London prior to the train incident.He was wearing a white T-shirt and sat hunched as he said "not guilty" to each of the charges.This breaking news story is being updated and more details will be published shortly. Please refresh the page for the fullest version.You can receive Breaking News on a smartphone or tablet via the BBC News App. You can also follow @BBCBreaking on X, external to get the latest alerts.Related topicsHuntingdonPeterboroughCambridgeshireالمصدر: BBC News | Source: BBC News
ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة BBC News. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.
This article was originally published by BBC News. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.





