diff --git "a/test/annoctr_T4_test.json" "b/test/annoctr_T4_test.json"
new file mode 100644--- /dev/null
+++ "b/test/annoctr_T4_test.json"
@@ -0,0 +1,1122 @@
+[
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSamSam\n### Target Entity: Bitcoin\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSamSam encrypts victim files using RSA-2048 encryption and demands a ransom be paid in Bitcoin to decrypt those files.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nMispadu\n### Target Entity: Delphi\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nMispadu is a banking trojan written in Delphi that was first observed in 2019 and uses a Malware-as-a-Service (MaaS) business model.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nElderwood\n### Target Entity: Hydraq\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nHydraq is a data-theft trojan first used by Elderwood in the 2009 Google intrusion known as Operation Aurora, though variations of this trojan have been used in more recent campaigns by other Chinese actors, possibly including APT17. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nOperation Aurora\n### Target Entity: Elderwood\n### Possible Relationship Labels:\n['attributed-to', 'is not related to', 'not sure']\n### Text Passage:\nHydraq is a data-theft trojan first used by Elderwood in the 2009 Google intrusion known as Operation Aurora, though variations of this trojan have been used in more recent campaigns by other Chinese actors, possibly including APT17. \n",
+        "output": "<label>attributed-to</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nFunnyDream\n### Target Entity: PcShare\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nPcShare is an open source remote access tool that has been modified and used by Chinese threat actors, most notably during the FunnyDream campaign since late 2018.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPcShare\n### Target Entity: Chinese\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nPcShare is an open source remote access tool that has been modified and used by Chinese threat actors, most notably during the FunnyDream campaign since late 2018.\n",
+        "output": "<label>originates-from</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nNinja\n### Target Entity: C++\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nNinja is a malware developed in C++ that has been used by ToddyCat to penetrate networks and control remote systems since at least 2020.  Ninja is possibly part of a post exploitation toolkit exclusively used by ToddyCat and allows multiple operators to work simultaneously on the same machine. Ninja has been used against government and military entities in Europe and Asia and observed in specific infection chains being deployed by Samurai.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nToddyCat\n### Target Entity: Ninja\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nNinja is a malware developed in C++ that has been used by ToddyCat to penetrate networks and control remote systems since at least 2020.  Ninja is possibly part of a post exploitation toolkit exclusively used by ToddyCat and allows multiple operators to work simultaneously on the same machine. Ninja has been used against government and military entities in Europe and Asia and observed in specific infection chains being deployed by Samurai.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nNinja\n### Target Entity: Europe\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nNinja is a malware developed in C++ that has been used by ToddyCat to penetrate networks and control remote systems since at least 2020.  Ninja is possibly part of a post exploitation toolkit exclusively used by ToddyCat and allows multiple operators to work simultaneously on the same machine. Ninja has been used against government and military entities in Europe and Asia and observed in specific infection chains being deployed by Samurai.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nNinja\n### Target Entity: Asia\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nNinja is a malware developed in C++ that has been used by ToddyCat to penetrate networks and control remote systems since at least 2020.  Ninja is possibly part of a post exploitation toolkit exclusively used by ToddyCat and allows multiple operators to work simultaneously on the same machine. Ninja has been used against government and military entities in Europe and Asia and observed in specific infection chains being deployed by Samurai.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSamurai\n### Target Entity: Ninja\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nNinja is a malware developed in C++ that has been used by ToddyCat to penetrate networks and control remote systems since at least 2020.  Ninja is possibly part of a post exploitation toolkit exclusively used by ToddyCat and allows multiple operators to work simultaneously on the same machine. Ninja has been used against government and military entities in Europe and Asia and observed in specific infection chains being deployed by Samurai.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTDTESS\n### Target Entity: .NET\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nTDTESS is a 64-bit .NET binary backdoor used by CopyKittens. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCopyKittens\n### Target Entity: TDTESS\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nTDTESS is a 64-bit .NET binary backdoor used by CopyKittens. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nXLoader\n### Target Entity: Android\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nXLoader for Android is a malicious Android app first observed targeting Japan, Korea, China, Taiwan, and Hong Kong in 2018. It has more recently been observed targeting South Korean users as a pornography application.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nXLoader\n### Target Entity: Japan\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nXLoader for Android is a malicious Android app first observed targeting Japan, Korea, China, Taiwan, and Hong Kong in 2018. It has more recently been observed targeting South Korean users as a pornography application.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nXLoader\n### Target Entity: Korea\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nXLoader for Android is a malicious Android app first observed targeting Japan, Korea, China, Taiwan, and Hong Kong in 2018. It has more recently been observed targeting South Korean users as a pornography application.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nXLoader\n### Target Entity: China\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nXLoader for Android is a malicious Android app first observed targeting Japan, Korea, China, Taiwan, and Hong Kong in 2018. It has more recently been observed targeting South Korean users as a pornography application.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nXLoader\n### Target Entity: Taiwan\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nXLoader for Android is a malicious Android app first observed targeting Japan, Korea, China, Taiwan, and Hong Kong in 2018. It has more recently been observed targeting South Korean users as a pornography application.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nXLoader\n### Target Entity: Hong Kong\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nXLoader for Android is a malicious Android app first observed targeting Japan, Korea, China, Taiwan, and Hong Kong in 2018. It has more recently been observed targeting South Korean users as a pornography application.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nXLoader\n### Target Entity: South Korean\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nXLoader for Android is a malicious Android app first observed targeting Japan, Korea, China, Taiwan, and Hong Kong in 2018. It has more recently been observed targeting South Korean users as a pornography application.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDragonfly\n### Target Entity: Backdoor.Oldrea\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nBackdoor.Oldrea is a backdoor used by Dragonfly. It appears to be custom malware authored by the group or specifically for it. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\ngroup\n### Target Entity: Backdoor.Oldrea\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nBackdoor.Oldrea is a backdoor used by Dragonfly. It appears to be custom malware authored by the group or specifically for it. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nFIN7\n### Target Entity: JSS Loader\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nJSS Loader is Remote Access Trojan (RAT) with .NET and C++ variants that has been used by FIN7 since at least 2020.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nJSS Loader\n### Target Entity: .NET\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nJSS Loader is Remote Access Trojan (RAT) with .NET and C++ variants that has been used by FIN7 since at least 2020.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nJSS Loader\n### Target Entity: C++\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nJSS Loader is Remote Access Trojan (RAT) with .NET and C++ variants that has been used by FIN7 since at least 2020.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nRocke\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nRocke has extracted tar.gz files after downloading them from a C2 server.\n",
+        "output": "<label>communicates-with</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSpark\n### Target Entity: cmd.exe\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSpark can use cmd.exe to run commands.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nNet Crawler\n### Target Entity: PsExec\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nNet Crawler uses PsExec to perform remote service manipulation to execute a copy of itself as part of lateral movement.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSkygofree\n### Target Entity: Android\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSkygofree is Android spyware that is believed to have been developed in 2014 and used through at least 2017.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAADInternals\n### Target Entity: Azure Active Directory\n### Possible Relationship Labels:\n['targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nAADInternals is a PowerShell-based framework for administering, enumerating, and exploiting Azure Active Directory. The tool is publicly available on GitHub.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAADInternals\n### Target Entity: PowerShell\n### Possible Relationship Labels:\n[]\n### Text Passage:\nAADInternals is a PowerShell-based framework for administering, enumerating, and exploiting Azure Active Directory. The tool is publicly available on GitHub.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nFLASHFLOOD\n### Target Entity: zlib\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nFLASHFLOOD employs the same encoding scheme as SPACESHIP for data it stages. Data is compressed with zlib, and bytes are rotated four times before being XOR'ed with 0x23.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSandworm Team\n### Target Entity: Prestige\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nPrestige ransomware has been used by Sandworm Team since at least March 2022, including against transportation and related logistics industries in Ukraine and Poland in October 2022.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPrestige\n### Target Entity: Ukraine\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nPrestige ransomware has been used by Sandworm Team since at least March 2022, including against transportation and related logistics industries in Ukraine and Poland in October 2022.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPrestige\n### Target Entity: Poland\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nPrestige ransomware has been used by Sandworm Team since at least March 2022, including against transportation and related logistics industries in Ukraine and Poland in October 2022.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTriton Safety Instrumented System Attack\n### Target Entity: Triton\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nTriton Safety Instrumented System Attack was a campaign employed by TEMP.Veles which leveraged the Triton malware framework against a petrochemical organization.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTriton Safety Instrumented System Attack\n### Target Entity: TEMP.Veles\n### Possible Relationship Labels:\n['attributed-to', 'is not related to', 'not sure']\n### Text Passage:\nTriton Safety Instrumented System Attack was a campaign employed by TEMP.Veles which leveraged the Triton malware framework against a petrochemical organization.\n",
+        "output": "<label>attributed-to</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAstaroth\n### Target Entity: ADS\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nAstaroth can abuse alternate data streams (ADS) to store content for malicious payloads.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBoomBox\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBoomBox has used HTTP POST requests for C2.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGorgon Group\n### Target Entity: ShiftyBug\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nGorgon Group malware can download a remote access tool, ShiftyBug, and inject into another process.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nEbury\n### Target Entity: sshd\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nEbury has injected its dynamic library into descendent processes of sshd via LD_PRELOAD.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDoki\n### Target Entity: DynDNS\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nDoki has used the DynDNS service and a DGA based on the Dogecoin blockchain to generate C2 domains.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDoki\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nDoki has used the DynDNS service and a DGA based on the Dogecoin blockchain to generate C2 domains.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDoki\n### Target Entity: Dogecoin\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nDoki has used the DynDNS service and a DGA based on the Dogecoin blockchain to generate C2 domains.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nxCaon\n### Target Entity: Kaspersky antivirus software\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nxCaon has checked for the existence of Kaspersky antivirus software on the system.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDualToy\n### Target Entity: Windows\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nDualToy is Windows malware that installs malicious applications onto Android and iOS devices connected over USB.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDualToy\n### Target Entity: Android\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nDualToy is Windows malware that installs malicious applications onto Android and iOS devices connected over USB.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDualToy\n### Target Entity: iOS\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nDualToy is Windows malware that installs malicious applications onto Android and iOS devices connected over USB.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCOATHANGER\n### Target Entity: FortiGate\n### Possible Relationship Labels:\n['targets', 'is not related to', 'not sure']\n### Text Passage:\nCOATHANGER is a remote access tool (RAT) targeting FortiGate networking appliances. First used in 2023 in targeted intrusions against military and government entities in the Netherlands along with other victims, COATHANGER was disclosed in early 2024, with a high confidence assessment linking this malware to a state-sponsored entity in the People's Republic of China. COATHANGER is delivered after gaining access to a FortiGate device, with in-the-wild observations linked to exploitation of CVE-2022-42475. The name COATHANGER is based on a unique string in the malware used to encrypt configuration files on disk: \u201cShe took his coat and hung it up\u201d.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCOATHANGER\n### Target Entity: Netherlands\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nCOATHANGER is a remote access tool (RAT) targeting FortiGate networking appliances. First used in 2023 in targeted intrusions against military and government entities in the Netherlands along with other victims, COATHANGER was disclosed in early 2024, with a high confidence assessment linking this malware to a state-sponsored entity in the People's Republic of China. COATHANGER is delivered after gaining access to a FortiGate device, with in-the-wild observations linked to exploitation of CVE-2022-42475. The name COATHANGER is based on a unique string in the malware used to encrypt configuration files on disk: \u201cShe took his coat and hung it up\u201d.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCOATHANGER\n### Target Entity: People's Republic of China\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nCOATHANGER is a remote access tool (RAT) targeting FortiGate networking appliances. First used in 2023 in targeted intrusions against military and government entities in the Netherlands along with other victims, COATHANGER was disclosed in early 2024, with a high confidence assessment linking this malware to a state-sponsored entity in the People's Republic of China. COATHANGER is delivered after gaining access to a FortiGate device, with in-the-wild observations linked to exploitation of CVE-2022-42475. The name COATHANGER is based on a unique string in the malware used to encrypt configuration files on disk: \u201cShe took his coat and hung it up\u201d.\n",
+        "output": "<label>originates-from</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCOATHANGER\n### Target Entity: CVE-2022-42475\n### Possible Relationship Labels:\n['exploits', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nCOATHANGER is a remote access tool (RAT) targeting FortiGate networking appliances. First used in 2023 in targeted intrusions against military and government entities in the Netherlands along with other victims, COATHANGER was disclosed in early 2024, with a high confidence assessment linking this malware to a state-sponsored entity in the People's Republic of China. COATHANGER is delivered after gaining access to a FortiGate device, with in-the-wild observations linked to exploitation of CVE-2022-42475. The name COATHANGER is based on a unique string in the malware used to encrypt configuration files on disk: \u201cShe took his coat and hung it up\u201d.\n",
+        "output": "<label>exploits</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nRover\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nRover automatically searches for files on local drives based on a predefined list of file extensions and sends them to the command and control server every 60 minutes. Rover also automatically sends keylogger files and screenshots to the C2 server on a regular timeframe.\n",
+        "output": "<label>communicates-with</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGRIFFON\n### Target Entity: JavaScript\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nGRIFFON is written in and executed as JavaScript.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTA505\n### Target Entity: FlawedGrace\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nWhatta TA: TA505 Ramps Up Activity, Delivers New FlawedGrace Variant October 19, 2021\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSiloscape\n### Target Entity: kubectl\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSiloscape searches for the kubectl binary.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nNeoichor\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nNeoichor is C2 malware used by Ke3chang since at least 2019; similar malware families used by the group include Leeson and Numbldea.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nKe3chang\n### Target Entity: Neoichor\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nNeoichor is C2 malware used by Ke3chang since at least 2019; similar malware families used by the group include Leeson and Numbldea.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nKe3chang\n### Target Entity: Leeson\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nNeoichor is C2 malware used by Ke3chang since at least 2019; similar malware families used by the group include Leeson and Numbldea.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nKe3chang\n### Target Entity: Numbldea\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nNeoichor is C2 malware used by Ke3chang since at least 2019; similar malware families used by the group include Leeson and Numbldea.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBlack Basta\n### Target Entity: C++\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBlack Basta is ransomware written in C++ that has been offered within the ransomware-as-a-service (RaaS) model since at least April 2022; there are variants that target Windows and VMWare ESXi servers. Black Basta operations have included the double extortion technique where in addition to demanding ransom for decrypting the files of targeted organizations the cyber actors also threaten to post sensitive information to a leak site if the ransom is not paid. Black Basta affiliates have targeted multiple high-value organizations, with the largest number of victims based in the U.S. Based on similarities in TTPs, leak sites, payment sites, and negotiation tactics, security researchers assess the Black Basta RaaS operators could include current or former members of the Conti group.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBlack Basta\n### Target Entity: Windows\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBlack Basta is ransomware written in C++ that has been offered within the ransomware-as-a-service (RaaS) model since at least April 2022; there are variants that target Windows and VMWare ESXi servers. Black Basta operations have included the double extortion technique where in addition to demanding ransom for decrypting the files of targeted organizations the cyber actors also threaten to post sensitive information to a leak site if the ransom is not paid. Black Basta affiliates have targeted multiple high-value organizations, with the largest number of victims based in the U.S. Based on similarities in TTPs, leak sites, payment sites, and negotiation tactics, security researchers assess the Black Basta RaaS operators could include current or former members of the Conti group.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBlack Basta\n### Target Entity: VMWare ESXi\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBlack Basta is ransomware written in C++ that has been offered within the ransomware-as-a-service (RaaS) model since at least April 2022; there are variants that target Windows and VMWare ESXi servers. Black Basta operations have included the double extortion technique where in addition to demanding ransom for decrypting the files of targeted organizations the cyber actors also threaten to post sensitive information to a leak site if the ransom is not paid. Black Basta affiliates have targeted multiple high-value organizations, with the largest number of victims based in the U.S. Based on similarities in TTPs, leak sites, payment sites, and negotiation tactics, security researchers assess the Black Basta RaaS operators could include current or former members of the Conti group.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBlack Basta\n### Target Entity: U.S.\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nBlack Basta is ransomware written in C++ that has been offered within the ransomware-as-a-service (RaaS) model since at least April 2022; there are variants that target Windows and VMWare ESXi servers. Black Basta operations have included the double extortion technique where in addition to demanding ransom for decrypting the files of targeted organizations the cyber actors also threaten to post sensitive information to a leak site if the ransom is not paid. Black Basta affiliates have targeted multiple high-value organizations, with the largest number of victims based in the U.S. Based on similarities in TTPs, leak sites, payment sites, and negotiation tactics, security researchers assess the Black Basta RaaS operators could include current or former members of the Conti group.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAdups\n### Target Entity: Android\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nAdups is software that was pre-installed onto Android devices, including those made by BLU Products. The software was reportedly designed to help a Chinese phone manufacturer monitor user behavior, transferring sensitive data to a Chinese server.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAdups\n### Target Entity: Chinese\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nAdups is software that was pre-installed onto Android devices, including those made by BLU Products. The software was reportedly designed to help a Chinese phone manufacturer monitor user behavior, transferring sensitive data to a Chinese server.\n",
+        "output": "<label>originates-from</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPony\n### Target Entity: Hancitor\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nHancitor is a downloader that has been used by Pony and other information stealing malware.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nNKAbuse\n### Target Entity: Go\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nNKAbuse is a Go-based, multi-platform malware abusing NKN (New Kind of Network) technology for data exchange between peers, functioning as a potent implant, and equipped with both flooder and backdoor capabilities.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nmacOS.OSAMiner\n### Target Entity: Monero\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nmacOS.OSAMiner is a Monero mining trojan that was first observed in 2018; security researchers assessed macOS.OSAMiner may have been circulating since at least 2015. macOS.OSAMiner is known for embedding one run-only AppleScript into another, which helped the malware evade full analysis for five years due to a lack of Apple event (AEVT) analysis tools.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nShimRat\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nShimRat communicated over HTTP and HTTPS with C2 servers.\n",
+        "output": "<label>communicates-with</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTA505\n### Target Entity: Get2\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nGet2 is a downloader written in C++ that has been used by TA505 to deliver FlawedGrace, FlawedAmmyy, Snatch and SDBbot.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGet2\n### Target Entity: FlawedGrace\n### Possible Relationship Labels:\n['delivers', 'drops', 'is not related to', 'not sure']\n### Text Passage:\nGet2 is a downloader written in C++ that has been used by TA505 to deliver FlawedGrace, FlawedAmmyy, Snatch and SDBbot.\n",
+        "output": "<label>delivers</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGet2\n### Target Entity: FlawedAmmyy\n### Possible Relationship Labels:\n['delivers', 'drops', 'is not related to', 'not sure']\n### Text Passage:\nGet2 is a downloader written in C++ that has been used by TA505 to deliver FlawedGrace, FlawedAmmyy, Snatch and SDBbot.\n",
+        "output": "<label>delivers</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGet2\n### Target Entity: Snatch\n### Possible Relationship Labels:\n['delivers', 'drops', 'is not related to', 'not sure']\n### Text Passage:\nGet2 is a downloader written in C++ that has been used by TA505 to deliver FlawedGrace, FlawedAmmyy, Snatch and SDBbot.\n",
+        "output": "<label>delivers</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGet2\n### Target Entity: SDBbot\n### Possible Relationship Labels:\n['delivers', 'drops', 'is not related to', 'not sure']\n### Text Passage:\nGet2 is a downloader written in C++ that has been used by TA505 to deliver FlawedGrace, FlawedAmmyy, Snatch and SDBbot.\n",
+        "output": "<label>delivers</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nOperation Dream Job\n### Target Entity: Lazarus Group\n### Possible Relationship Labels:\n['attributed-to', 'is not related to', 'not sure']\n### Text Passage:\nOperation Dream Job was a cyber espionage operation likely conducted by Lazarus Group that targeted the defense, aerospace, government, and other sectors in the United States, Israel, Australia, Russia, and India. In at least one case, the cyber actors tried to monetize their network access to conduct a business email compromise (BEC) operation. In 2020, security researchers noted overlapping TTPs, to include fake job lures and code similarities, between Operation Dream Job, Operation North Star, and Operation Interception; by 2022 security researchers described Operation Dream Job as an umbrella term covering both Operation Interception and Operation North Star.\n",
+        "output": "<label>attributed-to</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nOperation Dream Job\n### Target Entity: United States\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nOperation Dream Job was a cyber espionage operation likely conducted by Lazarus Group that targeted the defense, aerospace, government, and other sectors in the United States, Israel, Australia, Russia, and India. In at least one case, the cyber actors tried to monetize their network access to conduct a business email compromise (BEC) operation. In 2020, security researchers noted overlapping TTPs, to include fake job lures and code similarities, between Operation Dream Job, Operation North Star, and Operation Interception; by 2022 security researchers described Operation Dream Job as an umbrella term covering both Operation Interception and Operation North Star.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nOperation Dream Job\n### Target Entity: Israel\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nOperation Dream Job was a cyber espionage operation likely conducted by Lazarus Group that targeted the defense, aerospace, government, and other sectors in the United States, Israel, Australia, Russia, and India. In at least one case, the cyber actors tried to monetize their network access to conduct a business email compromise (BEC) operation. In 2020, security researchers noted overlapping TTPs, to include fake job lures and code similarities, between Operation Dream Job, Operation North Star, and Operation Interception; by 2022 security researchers described Operation Dream Job as an umbrella term covering both Operation Interception and Operation North Star.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nOperation Dream Job\n### Target Entity: Australia\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nOperation Dream Job was a cyber espionage operation likely conducted by Lazarus Group that targeted the defense, aerospace, government, and other sectors in the United States, Israel, Australia, Russia, and India. In at least one case, the cyber actors tried to monetize their network access to conduct a business email compromise (BEC) operation. In 2020, security researchers noted overlapping TTPs, to include fake job lures and code similarities, between Operation Dream Job, Operation North Star, and Operation Interception; by 2022 security researchers described Operation Dream Job as an umbrella term covering both Operation Interception and Operation North Star.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nOperation Dream Job\n### Target Entity: Russia\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nOperation Dream Job was a cyber espionage operation likely conducted by Lazarus Group that targeted the defense, aerospace, government, and other sectors in the United States, Israel, Australia, Russia, and India. In at least one case, the cyber actors tried to monetize their network access to conduct a business email compromise (BEC) operation. In 2020, security researchers noted overlapping TTPs, to include fake job lures and code similarities, between Operation Dream Job, Operation North Star, and Operation Interception; by 2022 security researchers described Operation Dream Job as an umbrella term covering both Operation Interception and Operation North Star.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nOperation Dream Job\n### Target Entity: India\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nOperation Dream Job was a cyber espionage operation likely conducted by Lazarus Group that targeted the defense, aerospace, government, and other sectors in the United States, Israel, Australia, Russia, and India. In at least one case, the cyber actors tried to monetize their network access to conduct a business email compromise (BEC) operation. In 2020, security researchers noted overlapping TTPs, to include fake job lures and code similarities, between Operation Dream Job, Operation North Star, and Operation Interception; by 2022 security researchers described Operation Dream Job as an umbrella term covering both Operation Interception and Operation North Star.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDropBook\n### Target Entity: Python\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nDropBook is a Python-based backdoor compiled with PyInstaller.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDropBook\n### Target Entity: PyInstaller\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nDropBook is a Python-based backdoor compiled with PyInstaller.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nLazarus Group\n### Target Entity: North Korean\n### Possible Relationship Labels:\n['targets', 'located-at', 'is not related to', 'not sure']\n### Text Passage:\nLazarus Group is a North Korean state-sponsored cyber threat group that has been attributed to the Reconnaissance General Bureau.\n",
+        "output": "<label>located-at</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nReconnaissance General Bureau\n### Target Entity: North Korean\n### Possible Relationship Labels:\n['located-at', 'is not related to', 'not sure']\n### Text Passage:\nLazarus Group is a North Korean state-sponsored cyber threat group that has been attributed to the Reconnaissance General Bureau.\n",
+        "output": "<label>located-at</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nFIN8\n### Target Entity: BADHATCH\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nBADHATCH is a backdoor that has been utilized by FIN8 since at least 2019. BADHATCH has been used to target the insurance, retail, technology, and chemical industries in the United States, Canada, South Africa, Panama, and Italy.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBADHATCH\n### Target Entity: United States\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nBADHATCH is a backdoor that has been utilized by FIN8 since at least 2019. BADHATCH has been used to target the insurance, retail, technology, and chemical industries in the United States, Canada, South Africa, Panama, and Italy.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBADHATCH\n### Target Entity: Canada\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nBADHATCH is a backdoor that has been utilized by FIN8 since at least 2019. BADHATCH has been used to target the insurance, retail, technology, and chemical industries in the United States, Canada, South Africa, Panama, and Italy.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBADHATCH\n### Target Entity: South Africa\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nBADHATCH is a backdoor that has been utilized by FIN8 since at least 2019. BADHATCH has been used to target the insurance, retail, technology, and chemical industries in the United States, Canada, South Africa, Panama, and Italy.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBADHATCH\n### Target Entity: Panama\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nBADHATCH is a backdoor that has been utilized by FIN8 since at least 2019. BADHATCH has been used to target the insurance, retail, technology, and chemical industries in the United States, Canada, South Africa, Panama, and Italy.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBADHATCH\n### Target Entity: Italy\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nBADHATCH is a backdoor that has been utilized by FIN8 since at least 2019. BADHATCH has been used to target the insurance, retail, technology, and chemical industries in the United States, Canada, South Africa, Panama, and Italy.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nUBoatRAT\n### Target Entity: BITSAdmin\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nUBoatRAT takes advantage of the /SetNotifyCmdLine option in BITSAdmin to ensure it stays running on a system to maintain persistence.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBlackTech\n### Target Entity: PLEAD\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nPLEAD is a remote access tool (RAT) and downloader used by BlackTech in targeted attacks in East Asia including Taiwan, Japan, and Hong Kong.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPLEAD\n### Target Entity: East Asia\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nPLEAD is a remote access tool (RAT) and downloader used by BlackTech in targeted attacks in East Asia including Taiwan, Japan, and Hong Kong.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPLEAD\n### Target Entity: Taiwan\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nPLEAD is a remote access tool (RAT) and downloader used by BlackTech in targeted attacks in East Asia including Taiwan, Japan, and Hong Kong.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPLEAD\n### Target Entity: Japan\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nPLEAD is a remote access tool (RAT) and downloader used by BlackTech in targeted attacks in East Asia including Taiwan, Japan, and Hong Kong.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPLEAD\n### Target Entity: Hong Kong\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nPLEAD is a remote access tool (RAT) and downloader used by BlackTech in targeted attacks in East Asia including Taiwan, Japan, and Hong Kong.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nMustang Panda\n### Target Entity: C2\n### Possible Relationship Labels:\n['uses', 'hosts', 'owns', 'compromises', 'is not related to', 'not sure']\n### Text Passage:\nMustang Panda Recent Activity: Dll-Sideloading trojans with temporal C2 servers June 02, 2020\n",
+        "output": "<label>communicates-with</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nWARPWIRE\n### Target Entity: Javascript\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nWARPWIRE is a Javascript credential stealer that targets plaintext passwords and usernames for exfiltration that was used during Cutting Edge to target Ivanti Connect Secure VPNs.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCutting Edge\n### Target Entity: WARPWIRE\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nWARPWIRE is a Javascript credential stealer that targets plaintext passwords and usernames for exfiltration that was used during Cutting Edge to target Ivanti Connect Secure VPNs.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nWARPWIRE\n### Target Entity: Ivanti Connect Secure VPNs\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nWARPWIRE is a Javascript credential stealer that targets plaintext passwords and usernames for exfiltration that was used during Cutting Edge to target Ivanti Connect Secure VPNs.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTrojan.Karagany\n### Target Entity: cmd.exe\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nTrojan.Karagany can perform reconnaissance commands on a victim machine via a cmd.exe process.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSILENTTRINITY\n### Target Entity: Python\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSILENTTRINITY is an open source remote administration and post-exploitation framework primarily written in Python that includes stagers written in Powershell, C, and Boo. SILENTTRINITY was used in a 2019 campaign against Croatian government agencies by unidentified cyber actors.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSILENTTRINITY\n### Target Entity: Powershell\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSILENTTRINITY is an open source remote administration and post-exploitation framework primarily written in Python that includes stagers written in Powershell, C, and Boo. SILENTTRINITY was used in a 2019 campaign against Croatian government agencies by unidentified cyber actors.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSILENTTRINITY\n### Target Entity: C\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSILENTTRINITY is an open source remote administration and post-exploitation framework primarily written in Python that includes stagers written in Powershell, C, and Boo. SILENTTRINITY was used in a 2019 campaign against Croatian government agencies by unidentified cyber actors.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSILENTTRINITY\n### Target Entity: Boo\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSILENTTRINITY is an open source remote administration and post-exploitation framework primarily written in Python that includes stagers written in Powershell, C, and Boo. SILENTTRINITY was used in a 2019 campaign against Croatian government agencies by unidentified cyber actors.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSILENTTRINITY\n### Target Entity: Croatian government agencies\n### Possible Relationship Labels:\n['targets', 'is not related to', 'not sure']\n### Text Passage:\nSILENTTRINITY is an open source remote administration and post-exploitation framework primarily written in Python that includes stagers written in Powershell, C, and Boo. SILENTTRINITY was used in a 2019 campaign against Croatian government agencies by unidentified cyber actors.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nLonghorn\n### Target Entity: Green Lambert\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nGreen Lambert is a modular backdoor that security researchers assess has been used by an advanced threat group referred to as Longhorn and The Lamberts. First reported in 2017, the Windows variant of Green Lambert may have been used as early as 2008; a macOS version was uploaded to a multiscanner service in September 2014.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGreen Lambert\n### Target Entity: Windows\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nGreen Lambert is a modular backdoor that security researchers assess has been used by an advanced threat group referred to as Longhorn and The Lamberts. First reported in 2017, the Windows variant of Green Lambert may have been used as early as 2008; a macOS version was uploaded to a multiscanner service in September 2014.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGreen Lambert\n### Target Entity: macOS\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nGreen Lambert is a modular backdoor that security researchers assess has been used by an advanced threat group referred to as Longhorn and The Lamberts. First reported in 2017, the Windows variant of Green Lambert may have been used as early as 2008; a macOS version was uploaded to a multiscanner service in September 2014.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nOperation GhostSecret\n### Target Entity: Proxysvc\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nProxysvc is a malicious DLL used by Lazarus Group in a campaign known as Operation GhostSecret. It has appeared to be operating undetected since 2017 and was mostly observed in higher education organizations. The goal of Proxysvc is to deliver additional payloads to the target and to maintain control for the attacker. It is in the form of a DLL that can also be executed as a standalone process. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nLazarus Group\n### Target Entity: Proxysvc\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nProxysvc is a malicious DLL used by Lazarus Group in a campaign known as Operation GhostSecret. It has appeared to be operating undetected since 2017 and was mostly observed in higher education organizations. The goal of Proxysvc is to deliver additional payloads to the target and to maintain control for the attacker. It is in the form of a DLL that can also be executed as a standalone process. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGroup5\n### Target Entity: Iranian\n### Possible Relationship Labels:\n['targets', 'located-at', 'is not related to', 'not sure']\n### Text Passage:\nGroup5 is a threat group with a suspected Iranian nexus, though this attribution is not definite. The group has targeted individuals connected to the Syrian opposition via spearphishing and watering holes, normally using Syrian and Iranian themes. Group5 has used two commonly available remote access tools (RATs), njRAT and NanoCore, as well as an Android RAT, DroidJack. \n",
+        "output": "<label>located-at</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGroup5\n### Target Entity: Syrian\n### Possible Relationship Labels:\n['targets', 'located-at', 'is not related to', 'not sure']\n### Text Passage:\nGroup5 is a threat group with a suspected Iranian nexus, though this attribution is not definite. The group has targeted individuals connected to the Syrian opposition via spearphishing and watering holes, normally using Syrian and Iranian themes. Group5 has used two commonly available remote access tools (RATs), njRAT and NanoCore, as well as an Android RAT, DroidJack. \n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGroup5\n### Target Entity: njRAT\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nGroup5 is a threat group with a suspected Iranian nexus, though this attribution is not definite. The group has targeted individuals connected to the Syrian opposition via spearphishing and watering holes, normally using Syrian and Iranian themes. Group5 has used two commonly available remote access tools (RATs), njRAT and NanoCore, as well as an Android RAT, DroidJack. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGroup5\n### Target Entity: NanoCore\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nGroup5 is a threat group with a suspected Iranian nexus, though this attribution is not definite. The group has targeted individuals connected to the Syrian opposition via spearphishing and watering holes, normally using Syrian and Iranian themes. Group5 has used two commonly available remote access tools (RATs), njRAT and NanoCore, as well as an Android RAT, DroidJack. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGroup5\n### Target Entity: DroidJack\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nGroup5 is a threat group with a suspected Iranian nexus, though this attribution is not definite. The group has targeted individuals connected to the Syrian opposition via spearphishing and watering holes, normally using Syrian and Iranian themes. Group5 has used two commonly available remote access tools (RATs), njRAT and NanoCore, as well as an Android RAT, DroidJack. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDroidJack\n### Target Entity: Android\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nGroup5 is a threat group with a suspected Iranian nexus, though this attribution is not definite. The group has targeted individuals connected to the Syrian opposition via spearphishing and watering holes, normally using Syrian and Iranian themes. Group5 has used two commonly available remote access tools (RATs), njRAT and NanoCore, as well as an Android RAT, DroidJack. \n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCORESHELL\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nCORESHELL C2 messages are Base64-encoded.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCobalt Group\n### Target Entity: SpicyOmelette\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nSpicyOmelette is a JavaScript based remote access tool that has been used by Cobalt Group since at least 2018.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSpicyOmelette\n### Target Entity: JavaScript\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSpicyOmelette is a JavaScript based remote access tool that has been used by Cobalt Group since at least 2018.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nFakeSpy\n### Target Entity: Android\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nFakeSpy is Android spyware that has been operated by the Chinese threat actor behind the Roaming Mantis campaigns.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nFakeSpy\n### Target Entity: Chinese\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nFakeSpy is Android spyware that has been operated by the Chinese threat actor behind the Roaming Mantis campaigns.\n",
+        "output": "<label>originates-from</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAPT41\n### Target Entity: DEADEYE\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nDEADEYE is a malware launcher that has been used by APT41 since at least May 2021. DEADEYE has variants that can either embed a payload inside a compiled binary (DEADEYE.EMBED) or append it to the end of a file (DEADEYE.APPEND).\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nFLIPSIDE\n### Target Entity: RDP\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nFLIPSIDE uses RDP to tunnel traffic from a victim environment.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSuckfly\n### Target Entity: Nidiran\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nNidiran is a custom backdoor developed and used by Suckfly. It has been delivered via strategic web compromise. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTurla\n### Target Entity: IronNetInjector\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nIronNetInjector is a Turla toolchain that utilizes scripts from the open-source IronPython implementation of Python with a .NET injector to drop one or more payloads including ComRAT.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nIronNetInjector\n### Target Entity: IronPython\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nIronNetInjector is a Turla toolchain that utilizes scripts from the open-source IronPython implementation of Python with a .NET injector to drop one or more payloads including ComRAT.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nIronNetInjector\n### Target Entity: Python\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nIronNetInjector is a Turla toolchain that utilizes scripts from the open-source IronPython implementation of Python with a .NET injector to drop one or more payloads including ComRAT.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nIronNetInjector\n### Target Entity: .NET\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nIronNetInjector is a Turla toolchain that utilizes scripts from the open-source IronPython implementation of Python with a .NET injector to drop one or more payloads including ComRAT.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGolden Cup\n### Target Entity: Android\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nGolden Cup is Android spyware that has been used to target World Cup fans.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAutoIt\n### Target Entity: PowerShell\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nAutoIt backdoor downloads a PowerShell script that decodes to a typical shellcode loader.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nHildegard\n### Target Entity: xmrig\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nHildegard has used xmrig to mine cryptocurrency.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nLiteDuke\n### Target Entity: Firefox\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nLiteDuke has the ability to discover the proxy configuration of Firefox and/or Opera.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nLiteDuke\n### Target Entity: Opera\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nLiteDuke has the ability to discover the proxy configuration of Firefox and/or Opera.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDarkTortilla\n### Target Entity: .NET\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nDarkTortilla is a highly configurable .NET-based crypter that has been possibly active since at least August 2015. DarkTortilla has been used to deliver popular information stealers, RATs, and payloads such as Agent Tesla, AsyncRat, NanoCore, RedLine, Cobalt Strike, and Metasploit.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBusyGasper\n### Target Entity: Android\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBusyGasper is Android spyware that has been in use since May 2016. There have been less than 10 victims, all who appear to be located in Russia, that were all infected via physical access to the device.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBusyGasper\n### Target Entity: Russia\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nBusyGasper is Android spyware that has been in use since May 2016. There have been less than 10 victims, all who appear to be located in Russia, that were all infected via physical access to the device.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTA551\n### Target Entity: SLIVER\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nSecurity Brief: TA551 Uses \u2018SLIVER\u2019 Red Team Tool in New Activity October 20, 2021\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nQakBot\n### Target Entity: esentutl.exe\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nQakBot can use a variety of commands, including esentutl.exe to steal sensitive data from Internet Explorer and Microsoft Edge, to acquire information that is subsequently exfiltrated.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nQakBot\n### Target Entity: Internet Explorer\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nQakBot can use a variety of commands, including esentutl.exe to steal sensitive data from Internet Explorer and Microsoft Edge, to acquire information that is subsequently exfiltrated.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nQakBot\n### Target Entity: Microsoft Edge\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nQakBot can use a variety of commands, including esentutl.exe to steal sensitive data from Internet Explorer and Microsoft Edge, to acquire information that is subsequently exfiltrated.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nKasidet\n### Target Entity: cmd.exe\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nKasidet can execute commands using cmd.exe.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nRising Sun\n### Target Entity: Windows\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nRising Sun used dynamic API resolutions to various Windows APIs by leveraging LoadLibrary() and GetProcAddress().\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBUSHWALK\n### Target Entity: Perl\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBUSHWALK is a web shell written in Perl that was inserted into the legitimate querymanifest.cgi file on compromised Ivanti Connect Secure VPNs during Cutting Edge.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCutting Edge\n### Target Entity: BUSHWALK\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nBUSHWALK is a web shell written in Perl that was inserted into the legitimate querymanifest.cgi file on compromised Ivanti Connect Secure VPNs during Cutting Edge.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBUSHWALK\n### Target Entity: Ivanti Connect Secure VPNs\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBUSHWALK is a web shell written in Perl that was inserted into the legitimate querymanifest.cgi file on compromised Ivanti Connect Secure VPNs during Cutting Edge.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\njRAT\n### Target Entity: VBScript\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\njRAT has been distributed as HTA files with VBScript.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAoqin Dragon\n### Target Entity: Heyoka Backdoor\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nHeyoka Backdoor is a custom backdoor--based on the Heyoka open source exfiltration tool--that  has been used by Aoqin Dragon since at least 2013.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nHeyoka Backdoor\n### Target Entity: Heyoka\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nHeyoka Backdoor is a custom backdoor--based on the Heyoka open source exfiltration tool--that  has been used by Aoqin Dragon since at least 2013.\n",
+        "output": "<label>variant-of</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nHermeticWiper\n### Target Entity: Ukraine\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nHermeticWiper is a data wiper that has been used since at least early 2022, primarily against Ukraine with additional activity observed in Latvia and Lithuania. Some sectors targeted include government, financial, defense, aviation, and IT services.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nHermeticWiper\n### Target Entity: Latvia\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nHermeticWiper is a data wiper that has been used since at least early 2022, primarily against Ukraine with additional activity observed in Latvia and Lithuania. Some sectors targeted include government, financial, defense, aviation, and IT services.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nHermeticWiper\n### Target Entity: Lithuania\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nHermeticWiper is a data wiper that has been used since at least early 2022, primarily against Ukraine with additional activity observed in Latvia and Lithuania. Some sectors targeted include government, financial, defense, aviation, and IT services.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nInvisiMole\n### Target Entity: Windows\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nInvisiMole can register a Windows service named CsPower as part of its execution chain, and a Windows service named clr_optimization_v2.0.51527_X86 to achieve persistence.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCaddyWiper\n### Target Entity: Ukraine\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nCaddyWiper is a destructive data wiper that has been used in attacks against organizations in Ukraine since at least March 2022.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBlackMould\n### Target Entity: China Chopper\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBlackMould is a web shell based on China Chopper for servers running Microsoft IIS. First reported in December 2019, it has been used in malicious campaigns by GALLIUM against telecommunication providers.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBlackMould\n### Target Entity: Microsoft IIS\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBlackMould is a web shell based on China Chopper for servers running Microsoft IIS. First reported in December 2019, it has been used in malicious campaigns by GALLIUM against telecommunication providers.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nGALLIUM\n### Target Entity: BlackMould\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nBlackMould is a web shell based on China Chopper for servers running Microsoft IIS. First reported in December 2019, it has been used in malicious campaigns by GALLIUM against telecommunication providers.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nKeyRaider\n### Target Entity: iOS\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nKeyRaider is malware that steals Apple account credentials and other data from jailbroken iOS devices. It also has ransomware functionality.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDeep Panda\n### Target Entity: StreamEx\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nStreamEx is a malware family that has been used by Deep Panda since at least 2015. In 2016, it was distributed via legitimate compromised Korean websites. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTomiris\n### Target Entity: Go\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nTomiris is a backdoor written in Go that continuously queries its C2 server for executables to download and execute on a victim system. It was first reported in September 2021 during an investigation of a successful DNS hijacking campaign against a Commonwealth of Independent States (CIS) member. Security researchers assess there are similarities between Tomiris and GoldMax.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTomiris\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nTomiris is a backdoor written in Go that continuously queries its C2 server for executables to download and execute on a victim system. It was first reported in September 2021 during an investigation of a successful DNS hijacking campaign against a Commonwealth of Independent States (CIS) member. Security researchers assess there are similarities between Tomiris and GoldMax.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nDNS hijacking campaign\n### Target Entity: Commonwealth of Independent States (CIS)\n### Possible Relationship Labels:\n['targets', 'is not related to', 'not sure']\n### Text Passage:\nTomiris is a backdoor written in Go that continuously queries its C2 server for executables to download and execute on a victim system. It was first reported in September 2021 during an investigation of a successful DNS hijacking campaign against a Commonwealth of Independent States (CIS) member. Security researchers assess there are similarities between Tomiris and GoldMax.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTomiris\n### Target Entity: Commonwealth of Independent States (CIS)\n### Possible Relationship Labels:\n['targets', 'is not related to', 'not sure']\n### Text Passage:\nTomiris is a backdoor written in Go that continuously queries its C2 server for executables to download and execute on a victim system. It was first reported in September 2021 during an investigation of a successful DNS hijacking campaign against a Commonwealth of Independent States (CIS) member. Security researchers assess there are similarities between Tomiris and GoldMax.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBOOSTWRITE\n### Target Entity: RDFSNIFFER\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nRDFSNIFFER is a module loaded by BOOSTWRITE which allows an attacker to monitor and tamper with legitimate connections made via an application designed to provide visibility and system management capabilities to remote IT techs.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nKinsing\n### Target Entity: Bitcoin\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nKinsing has created and run a Bitcoin cryptocurrency miner.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAPT32\n### Target Entity: RotaJakiro\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nRotaJakiro is a 64-bit Linux backdoor used by APT32. First seen in 2018, it uses a plugin architecture to extend capabilities. RotaJakiro can determine it's permission level and execute according to access type (`root` or `user`).\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nRotaJakiro\n### Target Entity: Linux\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nRotaJakiro is a 64-bit Linux backdoor used by APT32. First seen in 2018, it uses a plugin architecture to extend capabilities. RotaJakiro can determine it's permission level and execute according to access type (`root` or `user`).\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nC0021\n### Target Entity: US\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nC0021 was a spearphishing campaign conducted in November 2018 that targeted public sector institutions, non-governmental organizations (NGOs), educational institutions, and private-sector corporations in the oil and gas, chemical, and hospitality industries. The majority of targets were located in the US, particularly in and around Washington D.C., with other targets located in Europe, Hong Kong, India, and Canada. C0021's technical artifacts, tactics, techniques, and procedures (TTPs), and targeting overlap with previous suspected APT29 activity.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nC0021\n### Target Entity: Washington D.C.\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nC0021 was a spearphishing campaign conducted in November 2018 that targeted public sector institutions, non-governmental organizations (NGOs), educational institutions, and private-sector corporations in the oil and gas, chemical, and hospitality industries. The majority of targets were located in the US, particularly in and around Washington D.C., with other targets located in Europe, Hong Kong, India, and Canada. C0021's technical artifacts, tactics, techniques, and procedures (TTPs), and targeting overlap with previous suspected APT29 activity.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nC0021\n### Target Entity: Europe\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nC0021 was a spearphishing campaign conducted in November 2018 that targeted public sector institutions, non-governmental organizations (NGOs), educational institutions, and private-sector corporations in the oil and gas, chemical, and hospitality industries. The majority of targets were located in the US, particularly in and around Washington D.C., with other targets located in Europe, Hong Kong, India, and Canada. C0021's technical artifacts, tactics, techniques, and procedures (TTPs), and targeting overlap with previous suspected APT29 activity.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nC0021\n### Target Entity: Hong Kong\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nC0021 was a spearphishing campaign conducted in November 2018 that targeted public sector institutions, non-governmental organizations (NGOs), educational institutions, and private-sector corporations in the oil and gas, chemical, and hospitality industries. The majority of targets were located in the US, particularly in and around Washington D.C., with other targets located in Europe, Hong Kong, India, and Canada. C0021's technical artifacts, tactics, techniques, and procedures (TTPs), and targeting overlap with previous suspected APT29 activity.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nC0021\n### Target Entity: India\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nC0021 was a spearphishing campaign conducted in November 2018 that targeted public sector institutions, non-governmental organizations (NGOs), educational institutions, and private-sector corporations in the oil and gas, chemical, and hospitality industries. The majority of targets were located in the US, particularly in and around Washington D.C., with other targets located in Europe, Hong Kong, India, and Canada. C0021's technical artifacts, tactics, techniques, and procedures (TTPs), and targeting overlap with previous suspected APT29 activity.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nC0021\n### Target Entity: Canada\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nC0021 was a spearphishing campaign conducted in November 2018 that targeted public sector institutions, non-governmental organizations (NGOs), educational institutions, and private-sector corporations in the oil and gas, chemical, and hospitality industries. The majority of targets were located in the US, particularly in and around Washington D.C., with other targets located in Europe, Hong Kong, India, and Canada. C0021's technical artifacts, tactics, techniques, and procedures (TTPs), and targeting overlap with previous suspected APT29 activity.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nC0021\n### Target Entity: APT29\n### Possible Relationship Labels:\n['attributed-to', 'is not related to', 'not sure']\n### Text Passage:\nC0021 was a spearphishing campaign conducted in November 2018 that targeted public sector institutions, non-governmental organizations (NGOs), educational institutions, and private-sector corporations in the oil and gas, chemical, and hospitality industries. The majority of targets were located in the US, particularly in and around Washington D.C., with other targets located in Europe, Hong Kong, India, and Canada. C0021's technical artifacts, tactics, techniques, and procedures (TTPs), and targeting overlap with previous suspected APT29 activity.\n",
+        "output": "<label>attributed-to</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAkira\n### Target Entity: C++\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nAkira ransomware, written in C++, is most prominently (but not exclusively) associated with the a ransomware-as-a-service entity Akira.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSharpDisco\n### Target Entity: C#\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSharpDisco is a dropper developed in C# that has been used by MoustachedBouncer since at least 2020 to load malicious plugins.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nMoustachedBouncer\n### Target Entity: SharpDisco\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nSharpDisco is a dropper developed in C# that has been used by MoustachedBouncer since at least 2020 to load malicious plugins.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\ncertutil\n### Target Entity: KONNI\n### Possible Relationship Labels:\n['delivers', 'drops', 'is not related to', 'not sure']\n### Text Passage:\nKONNI has used certutil to download and decode base64 encoded strings.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nEmotet\n### Target Entity: Italian\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nSo far in 2021, Proofpoint has observed nearly half a million messages associated with this threat targeting Italian organizations. According to Proofpoint data, Ursnif is currently the most frequently observed malware targeting Italian organizations based on campaign data. Earlier this year, Proofpoint researchers observed multiple Emotet campaigns targeting the region as well \u2013 however, following the disruption of the Emotet botnet in January 2021, all Emotet activity has disappeared and this malware is no longer an ongoing threat.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nEmotet campaigns\n### Target Entity: Italian\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nSo far in 2021, Proofpoint has observed nearly half a million messages associated with this threat targeting Italian organizations. According to Proofpoint data, Ursnif is currently the most frequently observed malware targeting Italian organizations based on campaign data. Earlier this year, Proofpoint researchers observed multiple Emotet campaigns targeting the region as well \u2013 however, following the disruption of the Emotet botnet in January 2021, all Emotet activity has disappeared and this malware is no longer an ongoing threat.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAPT28\n### Target Entity: USBStealer\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nUSBStealer is malware that has used by APT28 since at least 2005 to extract information from air-gapped networks. It does not have the capability to communicate over the Internet and has been used in conjunction with ADVSTORESHELL. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nHARDRAIN\n### Target Entity: cmd.exe\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nHARDRAIN uses the command cmd.exe /c netsh firewall add portopening TCP 443 \"adp\" and makes the victim machine function as a proxy server.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAdFind\n### Target Entity: Active Directory\n### Possible Relationship Labels:\n['targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nAdFind is a free command-line query tool that can be used for gathering information from Active Directory.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPillowmint\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nPillowmint has used shellcode which reads code stored in the registry keys \\REGISTRY\\SOFTWARE\\Microsoft\\DRM using the native Windows API as well as read HKEY_LOCAL_MACHINE\\System\\CurrentControlSet\\Services\\Tcpip\\Parameters\\Interfaces as part of its C2.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPillowmint\n### Target Entity: Windows\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nPillowmint has used shellcode which reads code stored in the registry keys \\REGISTRY\\SOFTWARE\\Microsoft\\DRM using the native Windows API as well as read HKEY_LOCAL_MACHINE\\System\\CurrentControlSet\\Services\\Tcpip\\Parameters\\Interfaces as part of its C2.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nQUIETCANARY\n### Target Entity: .NET\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nQUIETCANARY is a backdoor tool written in .NET that has been used since at least 2022 to gather and exfiltrate data from victim networks.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nRamsay\n### Target Entity: ipconfig\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nRamsay can use ipconfig and Arp to collect network configuration information, including routing information and ARP tables.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nRamsay\n### Target Entity: Arp\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nRamsay can use ipconfig and Arp to collect network configuration information, including routing information and ARP tables.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nadbupd\n### Target Entity: C2\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nadbupd contains a copy of the OpenSSL library to encrypt C2 traffic.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nadbupd\n### Target Entity: OpenSSL\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nadbupd contains a copy of the OpenSSL library to encrypt C2 traffic.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nWinnti\n### Target Entity: Windows\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nWinnti for Windows is a Trojan that has been used by multiple groups to carry out intrusions in varied regions from at least 2010 to 2016. One of the groups using this malware is referred to by the same name, Winnti Group; however, reporting indicates a second distinct group, Axiom, also uses the malware. \n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nWinnti Group\n### Target Entity: Winnti\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nWinnti for Windows is a Trojan that has been used by multiple groups to carry out intrusions in varied regions from at least 2010 to 2016. One of the groups using this malware is referred to by the same name, Winnti Group; however, reporting indicates a second distinct group, Axiom, also uses the malware. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nAxiom\n### Target Entity: Winnti\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nWinnti for Windows is a Trojan that has been used by multiple groups to carry out intrusions in varied regions from at least 2010 to 2016. One of the groups using this malware is referred to by the same name, Winnti Group; however, reporting indicates a second distinct group, Axiom, also uses the malware. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nMachete\n### Target Entity: Chrome\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nMachete retrieves the user profile data (e.g., browsers) from Chrome and Firefox browsers.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nMachete\n### Target Entity: Firefox\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nMachete retrieves the user profile data (e.g., browsers) from Chrome and Firefox browsers.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nChimera\n### Target Entity: Windows admin shares\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nChimera has used Windows admin shares to move laterally.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nChimera\n### Target Entity: Windows\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nChimera has used Windows admin shares to move laterally.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nLaZagne\n### Target Entity: macOS\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nLaZagne can obtain credentials from macOS Keychains.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTRITON\n### Target Entity: TsLow\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nTRITON\u2019s TsLow python module pings controllers over the TriStation protocol.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nTsLow\n### Target Entity: TriStation\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nTRITON\u2019s TsLow python module pings controllers over the TriStation protocol.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSquirrelwaffle\n### Target Entity: Cobalt Strike\n### Possible Relationship Labels:\n['variant-of', 'uses', 'downloads', 'drops', 'controls', 'is not related to', 'not sure']\n### Text Passage:\nSquirrelwaffle is a loader that was first seen in September 2021. It has been used in spam email campaigns to deliver additional malware such as Cobalt Strike and the QakBot banking trojan.\n",
+        "output": "<label>delivers</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSquirrelwaffle\n### Target Entity: QakBot\n### Possible Relationship Labels:\n['variant-of', 'uses', 'downloads', 'drops', 'controls', 'is not related to', 'not sure']\n### Text Passage:\nSquirrelwaffle is a loader that was first seen in September 2021. It has been used in spam email campaigns to deliver additional malware such as Cobalt Strike and the QakBot banking trojan.\n",
+        "output": "<label>delivers</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nLazarus Group\n### Target Entity: BADCALL\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nBADCALL is a Trojan malware variant used by the group Lazarus Group. \n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPowGoop\n### Target Entity: PowerShell\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nPowGoop is a loader that consists of a DLL loader and a PowerShell-based downloader; it has been used by MuddyWater as their main loader.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nMuddyWater\n### Target Entity: PowGoop\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nPowGoop is a loader that consists of a DLL loader and a PowerShell-based downloader; it has been used by MuddyWater as their main loader.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nCutting Edge\n### Target Entity: PITSTOP\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nPITSTOP is a backdoor that was deployed on compromised Ivanti Connect Secure VPNs during Cutting Edge to enable command execution and file read/write.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nPITSTOP\n### Target Entity: Ivanti Connect Secure VPNs\n### Possible Relationship Labels:\n['beacons-to', 'exfiltrates-to', 'targets', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nPITSTOP is a backdoor that was deployed on compromised Ivanti Connect Secure VPNs during Cutting Edge to enable command execution and file read/write.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nEnvyScout\n### Target Entity: Rundll32\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nEnvyScout has the ability to proxy execution of malicious files with Rundll32.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nBOOTRASH\n### Target Entity: Volume Boot Record\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nBOOTRASH is a Volume Boot Record (VBR) bootkit that uses the VBR to maintain persistence.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nWhitefly\n### Target Entity: Vcrodat\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nWhitefly has used search order hijacking to run the loader Vcrodat.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSandworm Team\n### Target Entity: GOGETTER\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nThe 2022 Ukraine Electric Power Attack was a Sandworm Team campaign that used a combination of GOGETTER, Neo-REGEORG, CaddyWiper, and living of the land (LotL) techniques to gain access to a Ukrainian electric utility to send unauthorized commands from their SCADA system.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSandworm Team\n### Target Entity: Neo-REGEORG\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nThe 2022 Ukraine Electric Power Attack was a Sandworm Team campaign that used a combination of GOGETTER, Neo-REGEORG, CaddyWiper, and living of the land (LotL) techniques to gain access to a Ukrainian electric utility to send unauthorized commands from their SCADA system.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSandworm Team\n### Target Entity: CaddyWiper\n### Possible Relationship Labels:\n['uses', 'is not related to', 'not sure']\n### Text Passage:\nThe 2022 Ukraine Electric Power Attack was a Sandworm Team campaign that used a combination of GOGETTER, Neo-REGEORG, CaddyWiper, and living of the land (LotL) techniques to gain access to a Ukrainian electric utility to send unauthorized commands from their SCADA system.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSandworm Team\n### Target Entity: Ukrainian\n### Possible Relationship Labels:\n['targets', 'located-at', 'is not related to', 'not sure']\n### Text Passage:\nThe 2022 Ukraine Electric Power Attack was a Sandworm Team campaign that used a combination of GOGETTER, Neo-REGEORG, CaddyWiper, and living of the land (LotL) techniques to gain access to a Ukrainian electric utility to send unauthorized commands from their SCADA system.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSandworm Team\n### Target Entity: SCADA\n### Possible Relationship Labels:\n['uses', 'hosts', 'owns', 'compromises', 'is not related to', 'not sure']\n### Text Passage:\nThe 2022 Ukraine Electric Power Attack was a Sandworm Team campaign that used a combination of GOGETTER, Neo-REGEORG, CaddyWiper, and living of the land (LotL) techniques to gain access to a Ukrainian electric utility to send unauthorized commands from their SCADA system.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\n2022 Ukraine Electric Power Attack\n### Target Entity: Ukrainian\n### Possible Relationship Labels:\n['originates-from', 'targets', 'is not related to', 'not sure']\n### Text Passage:\nThe 2022 Ukraine Electric Power Attack was a Sandworm Team campaign that used a combination of GOGETTER, Neo-REGEORG, CaddyWiper, and living of the land (LotL) techniques to gain access to a Ukrainian electric utility to send unauthorized commands from their SCADA system.\n",
+        "output": "<label>targets</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\n2022 Ukraine Electric Power Attack\n### Target Entity: Sandworm Team\n### Possible Relationship Labels:\n['attributed-to', 'is not related to', 'not sure']\n### Text Passage:\nThe 2022 Ukraine Electric Power Attack was a Sandworm Team campaign that used a combination of GOGETTER, Neo-REGEORG, CaddyWiper, and living of the land (LotL) techniques to gain access to a Ukrainian electric utility to send unauthorized commands from their SCADA system.\n",
+        "output": "<label>attributed-to</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nIronNetInjector\n### Target Entity: C#\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nIronNetInjector can identify processes via C# methods such as GetProcessesByName and running Tasklist with the Python os.popen function.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nIronNetInjector\n### Target Entity: Tasklist\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nIronNetInjector can identify processes via C# methods such as GetProcessesByName and running Tasklist with the Python os.popen function.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nIronNetInjector\n### Target Entity: Python\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nIronNetInjector can identify processes via C# methods such as GetProcessesByName and running Tasklist with the Python os.popen function.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSMOKEDHAM\n### Target Entity: Powershell\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSMOKEDHAM has used Powershell to download UltraVNC and Ngrok from third-party file sharing sites.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSMOKEDHAM\n### Target Entity: UltraVNC\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSMOKEDHAM has used Powershell to download UltraVNC and Ngrok from third-party file sharing sites.\n",
+        "output": "<label>uses</label>"
+    },
+    {
+        "instruction": "You are a helpful threat intelligence analyst. Your task is to identify the label of the relationship between the source entity and the target entity in the provided text passage. To help you, we provide all the possible relationship labels between the source and target entities.\nAnswer in the following format: <label>Your chosen label</label>",
+        "input": "### Source Entity:\nSMOKEDHAM\n### Target Entity: Ngrok\n### Possible Relationship Labels:\n['downloads', 'drops', 'uses', 'is not related to', 'not sure']\n### Text Passage:\nSMOKEDHAM has used Powershell to download UltraVNC and Ngrok from third-party file sharing sites.\n",
+        "output": "<label>uses</label>"
+    }
+]
\ No newline at end of file