<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'A few months later , in February 2017 , the FBI published a press release revising its estimates and stating that , Since January 2015 , there has been a 1,300 percent increase in identified exposed losses , now totaling over $3 billion , Recognizing the significance of this threat group , Unit 42 continues to track the evolution of Nigerian cybercrime under the code name SilverTerrier .' [/INST] [A:O, few:O, months:O, later:O, ,:O, in:O, February:B-Time, 2017:I-Time, ,:O, the:O, FBI:B-SecTeam, published:O, a:O, press:O, release:O, revising:O, its:O, estimates:O, and:O, stating:O, that:O, ,:O, Since:O, January:B-Time, 2015:I-Time, ,:O, there:O, has:O, been:O, a:O, 1,300:O, percent:O, increase:O, in:O, identified:O, exposed:O, losses:O, ,:O, now:O, totaling:O, over:O, $3:O, billion:O, ,:O, Recognizing:O, the:O, significance:O, of:O, this:O, threat:B-HackOrg, group:I-HackOrg, ,:O, Unit:B-SecTeam, 42:I-SecTeam, continues:O, to:O, track:O, the:O, evolution:O, of:O, Nigerian:B-Area, cybercrime:O, under:O, the:O, code:O, name:O, SilverTerrier:B-HackOrg, .:O] </s>