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1 Entities | 1 Marked | 0 Connections

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JSON MARKUP

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<script type="application/ld+json">{"@context":"https://schema.org","@type": "Article","@id":"#main","mainEntityOfPage":{"@type":"WebPage", "@id":"http://regnum.ru"}, "headline":"??????? ??????, ??? ? ???? - ?? REGNUM","description":"??????????? ?????????????? ?????????. ????? ??????? ?? REGNUM ?????????? ??? ??????? ?????? ? ???????????? ??????????? ??????, ??????? ???? ? ??????????.","image":{"@type": "ImageObject", "url": "https://regnum.ru/regnum_logo.png", "width": 512, "height": 512},"about":[{"@type": "Thing","name": "Business Insider","sameAs": ["https://en.wikipedia.org/wiki/Business_Insider", "https://www.wikidata.org/wiki/Q286707"]}],"author":{"@type":"Organization","url":"/","name":"/"},"publisher":{"@type":"Organization", "name":"/", "url":"/", "logo": {"@type": "ImageObject", "url": "http://www.example.com", "width": 4, "height": 97}},"datePublished":"2023-06-03T17:07:31","dateModified":"2023-06-03T17:07:31"}</script>

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MICRODATA

WordEntityTypeCategoryWikidataFreq.Validate
Business Insider Business Insider Thing Hi-Tech Q286707 100 %
<span itemscope itemtype="http://schema.org/Thing">
        <span itemprop="name">Business Insider</span>
        <link itemprop="sameAs" href="https://en.wikipedia.org/wiki/Business_Insider" />
</span>

TEXT

??????? ??????, ??? ? ???? - ?? REGNUM

??????? ??????, ??? ? ???? - ?? REGNUM

? ?????? ????????????????? ?????? ????? «?????????» ? American Boy ?????? «????, ?????? ???????». ?????? ? ??????? ?? ???????? ??????????? ?????????

Bayraktar TB2 ?????? ?? ???????? "??????????". ? ????? ?????????? ????????? ??????? Business Insider<span itemscope itemtype="http://schema.org/Thing">
        <span itemprop="name">Business Insider</span>
        <link itemprop="sameAs" href="https://en.wikipedia.org/wiki/Business_Insider" />
</span>
, ??????????????? ??????? ?????????? ?????? ??????????? ??? ?? ????? ??????????? ??????? ????????. ??? ???????? ???????, ?????????? ??????? ? ???????????? ??????????? ??????...


> api_Check - TIME: 0.01
> api_Load - TIME: 0
> api_Format - TIME: 1.76
> api_Cat - TIME: 0.09
> api_Get - TIME: 0.12
> api_beforeFind - TIME: 0.02
> api_afterFind - TIME: 0.38
> api_afterPlaces - TIME: 0.02
> api_afterProducts - TIME: 0.08
> api_afterMovies - TIME: 0.01
> api_Match - TIME: 0.51
> api_Comp - TIME: 0.41
> api_Disp - TIME: 0.01