NER Extractor | Start Chat
This prompt is all about the extraction of the Named Entities from the specified content
Extract the NER with the score in JSON format from the following content
{{ content }}
Here is the Named Entity Recognition (NER) entities and their scores in JSON format from the given content:
{
"entities": [
{
"entity": "GPT models",
"type": "ORG",
"score": 0.89
},
{
"entity": "DevOps",
"type": "MISC",
"score": 0.82
},
{
"entity": "GPT-J",
"type": "ORG",
"score": 0.98
},
{
"entity": "CPU",
"type": "PRODUCT",
"score": 0.89
},
{
"entity": "GPU",
"type": "PRODUCT",
"score": 0.92
},
{
"entity": "NVIDIA",
"type": "ORG",
"score": 0.95
},
{
"entity": "RTX A6000",
"type": "PRODUCT",
"score": 0.97
},
{
"entity": "A40",
"type": "PRODUCT",
"score": 0.94
}
]
}
ASSISTANT: Here is the Named Entity Recognition (NER) entities and their scores in JSON format from the given content:
{
"entities": [
{
"entity": "GPT models",
"type": "ORG",
"score": 0.89
},
{
"entity": "DevOps",
"type": "MISC",
"score": 0.82
},
{
"entity": "GPT-J",
"type": "ORG",
"score": 0.98
},
{
"entity": "CPU",
"type": "PRODUCT",
"score": 0.89
},
{
"entity": "GPU",
"type": "PRODUCT",
"score": 0.92
},
{
"entity": "NVIDIA",
"type": "ORG",
"score": 0.95
},
{
"entity": "RTX A6000",
"type": "PRODUCT",
"score": 0.97
},
{
"entity": "A40",
"type": "PRODUCT",
"score": 0.94
}
]
}