Status: True
Assertion
Diamonds come from coal.
Results
<|assistant|> True
– explanation: The provided statements are all true based on scientific theories and geological studies about coal transforming into a diamond through carbon metamorphism under extreme conditions.
Assumptions
<|assistant|> – The process by which coal transforms into diamond occurs through carbon metamorphism, where the existing organic material (coal) is subjected to extreme geological conditions.
– High pressure and temperature conditions are necessary for this transformation, specifically in the Earth’s mantle.
– These high-pressure, high-temperature environments exist deep within the Earth’s mantle at great depths, typically more than 150 kilometers below the surface.
– The process takes a significant amount of time, potentially millions to billions of years, as it involves gradual changes in the structure and composition of carbon atoms under these extreme conditions.
– Coal must be pure carbon-based material without any other impurities or minerals that could interfere with its transformation into diamond.
– The Earth’s mantle has regions where such high pressure and temperature can naturally occur, allowing for the potential formation of natural diamonds from coal deposits.
– There is a theoretical understanding of carbon crystalline structures under extreme conditions, including those required to form diamonds, based on scientific research and knowledge in geology and mineralogy.
– The transformation process preserves the elemental
Fact Checker Output
[output]: – True: The process by which coal transforms into a diamond does occur through carbon metamorphism under extreme conditions; this statement is based on scientific theories and geological studies that suggest the possibility of such transformation deep within the Earth’s mantle, though it remains rare.
– True: High pressure and temperature are necessary for the transformation, with these conditions typically found in the Earth’s mantle at depths greater than 150 kilometers below the surface. This is a well-supported concept based on our understanding of geological processes.
– True: These extreme environments within the Earth’s mantle provide the necessary setting for the gradual transformation, with timeframes spanning millions to billions of years due to the slow pace at which such changes occur in nature.
– True: For coal to transform into a diamond, it must be pure carbon without contaminants or minerits that could interfere with its metamorphic process; this is essential for the formation of natural diamonds as impurities can affect their quality and structure.
– True: There are regions within the Earth’s mantle where high pressure and temperature conditions exist naturally, offering potential sites for the formation of
Model Used
microsoft/Phi-3-mini-4k-instruct-gguf
Script Name
fact_checker_mongodb.py
Script Code
import os
import sys
import requests
from langchain_openai.llms import OpenAI
from langchain.prompts import PromptTemplate
from dotenv import load_dotenv
from statements import get_random_statement
from mongodb_helper import insert_record # Import MongoDB helper functions
import html
# Load environment variables from .env file
load_dotenv()
# Define category IDs
CATEGORY_IDS = {
"True": 2,
"False": 3,
"Debatable": 4
}
def create_wordpress_post(title, content, category):
data = {
"title": title,
"content": content,
"status": "publish",
"categories": [CATEGORY_IDS[category]]
}
response = requests.post(
os.getenv("WORDPRESS_POSTS_URL"),
json=data,
auth=(os.getenv("WORDPRESS_USERNAME"), os.getenv("WORDPRESS_PASSWORD"))
)
if response.status_code == 201:
print("Blog post created successfully.")
else:
print(f"Failed to create blog post: {response.status_code} - {response.text}")
def fact_check(assertion):
llm = OpenAI(temperature=0.7)
# Define the prompt templates
assertion_template = """{assertion}\n\n"""
assertion_prompt = PromptTemplate(input_variables=["assertion"], template=assertion_template)
assumptions_template = """Here is a statement:
{statement}
Make a bullet point list of the assumptions required to support the above statement.\n\n"""
assumptions_prompt = PromptTemplate(input_variables=["statement"], template=assumptions_template)
fact_checker_template = """Here is a bullet point list of assertions:
{assertions}
For each assumption, determine whether it is true or false. Explain your reasoning.\n\n"""
fact_checker_prompt = PromptTemplate(input_variables=["assertions"], template=fact_checker_template)
answer_template = """
Here is the information to classify the statement:
{facts}
Based on the above information, how would you classify the statement? Respond with one of the following options:
- True
- False
- Debatable
"""
answer_prompt = PromptTemplate(input_variables=["facts"], template=answer_template)
# Format prompts and extract the string content
formatted_assertion = assertion_prompt.format_prompt(assertion=assertion).text
assertion_output = llm.invoke(formatted_assertion)
formatted_assumptions = assumptions_prompt.format_prompt(statement=assertion_output).text
assumptions_output = llm.invoke(formatted_assumptions)
formatted_fact_checker = fact_checker_prompt.format_prompt(assertions=assumptions_output).text
fact_checker_output = llm.invoke(formatted_fact_checker)
formatted_answer = answer_prompt.format_prompt(facts=fact_checker_output).text
final_output = llm.invoke(formatted_answer)
return {
"assertion_output": assertion_output,
"assumptions_output": assumptions_output,
"fact_checker_output": fact_checker_output,
"final_output": final_output,
}
def extract_status(final_output):
final_output = final_output.lower().strip()
if "true" in final_output:
return "True"
elif "false" in final_output:
return "False"
elif "debatable" in final_output:
return "Debatable"
else:
return "Unknown"
if __name__ == "__main__":
if len(sys.argv) > 1:
assertion = sys.argv[1]
else:
assertion = get_random_statement()
print(assertion)
submission = fact_check(assertion)
# Print the detailed outputs to inspect their structure
for key, value in submission.items():
print(f"{key}: {value}")
# Extract the final output for status determination
final_output = submission['final_output']
# Determine the status based on the final output text
status = extract_status(final_output)
# Record the result in MongoDB
try:
print("Attempting to insert record into MongoDB...")
insert_record(
script_name="fact_checker_mongodb.py",
script_code=html.escape(open(__file__).read()),
assertion=assertion,
status=status,
submission=submission, # Store the entire submission for detailed analysis
model=os.getenv("MODEL_NAME")
)
print("Record inserted into MongoDB successfully.")
except Exception as e:
print(f"Failed to insert record into MongoDB: {e}")
print(final_output)
# Create a blog post on WordPress
blog_title = f"Fact Check: {assertion}"
blog_content = f"""
<h1>Status: {status}</h1>
<h2>Assertion</h2>
<p>{assertion}</p>
<h2>Results</h2>
<p>{final_output}</p>
<h3>Assumptions</h3>
<p>{submission['assumptions_output']}</p>
<h3>Fact Checker Output</h3>
<p>{submission['fact_checker_output']}</p>
<h4>Model Used</h4>
<p>{os.getenv("MODEL_NAME")}</p>
<h4>Script Name</h4>
<p>fact_checker_mongodb.py</p>
<h4>Script Code</h4>
<pre>{html.escape(open(__file__).read())}</pre>
"""
create_wordpress_post(blog_title, blog_content, status)
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