Fact Check: Gold is the heaviest metal.

Status: True

Assertion

Gold is the heaviest metal.

Reasoning

The statement provided is accurate in its classification. Gold’s high density does indeed make it heavier than many other common elements, making the first part of the statement true. When discussing “heaviest” metals, atomic mass is often a key factor; thus, the second part of the statement is also correct. Furthermore, Tennessine and Oganesson are superheavy elements with limited quantities due to their synthetic origin and short half-lives as mentioned in the third part. Lastly, while Oganesson has one of the highest atomic masses, it does not qualify as a metal based on its position within the periodic table, which confirms the truthfulness of the fourth statement. All parts of the combined statement are true with respect to their respective topics and scientific understanding of elements’ properties.

Assumptions

<|assistant|> – Gold is indeed heavier than many other common elements due to its high density (approximately 19.32 g/cm³).
– The concept of “heaviest” metal generally refers to the element with the highest atomic mass among naturally occurring metals, not just weight or density.
– Tennessine and oganesson are part of the superheavy elements group but exist only in small quantities due to their synthetic nature and short half-lives.
– Oganesson (Og) is considered the heaviest element by atomic mass, with an approximate atomic mass of 294 u; however, this does not necessarily mean it’s a metal.
– The reference to tungsten having the highest density among pure metals highlights that density and weight per volume are separate considerations from atomic mass in determining the “heaviest” element.
– When discussing the heaviness of elements (metals), average atomic masses should be taken into account, as individual atoms can have slightly different weights due to natural isotopic variations.
– The comparison of metals based on weight or density alone does not provide an accurate representation of their “he

Fact Checker Output

answer= – Gold is indeed heavier than many other common elements due to its high density (approximately 19.32 g/cm³). True, because gold’s atomic mass and the arrangement of atoms in a solid structure contribute to this significant density compared to most metals.
– The concept of “heaviest” metal generally refers to the element with the highest atomic mass among naturally occurring metals, not just weight or density. True, as typically when discussing the heaviness of elements (metals), it’s about their atomic masses rather than just physical properties like weight or density.
– Tennessine and oganesson are part of the superheavy elements group but exist only in small quantities due to their synthetic nature and short half-lives. True, these elements were created artificially through nuclear reactions and have very limited amounts available for study because they decay quickly into other elements.
– Oganesson (Og) is considered the heaviest element by atomic mass, with an approximate atomic mass of 294 u; however, this does not necessarily mean it’s a metal. True, oganesson has one of the highest atomic masses but falls

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
from wordpress_helper import create_wordpress_post  # Import WordPress helper functions
import html

# Load environment variables from .env file
load_dotenv()

def fact_check(assertion):
    llm = OpenAI(temperature=0.7, model=os.getenv("MODEL_NAME"))

    # 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 followed by a colon and space:
    - True: [Explanation]
    - False: [Explanation]
    - Debatable: [Explanation]
    """
    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_and_reasoning(final_output):
    llm = OpenAI(temperature=0.7, model=os.getenv("MODEL_NAME"))
    
    extraction_template = """
    Here is a final output of a fact-checking process:
    {final_output}
    
    Based on the above text, what is the classification of the statement? Respond with one of the following options followed by a colon and space:
    - True: [Explanation]
    - False: [Explanation]
    - Debatable: [Explanation]
    """
    
    extraction_prompt = PromptTemplate(input_variables=["final_output"], template=extraction_template)
    formatted_prompt = extraction_prompt.format_prompt(final_output=final_output).text
    extraction_output = llm.invoke(formatted_prompt).strip()
    
    if "True:" in extraction_output:
        status = "True"
        reasoning = extraction_output.split("True:", 1)[1].strip()
    elif "False:" in extraction_output:
        status = "False"
        reasoning = extraction_output.split("False:", 1)[1].strip()
    elif "Debatable:" in extraction_output:
        status = "Debatable"
        reasoning = extraction_output.split("Debatable:", 1)[1].strip()
    else:
        status = "Unknown"
        reasoning = extraction_output
    
    return status, reasoning

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 and reasoning
    final_output = submission['final_output']
    status, reasoning = extract_status_and_reasoning(final_output)
    
    # Print the final status and reasoning
    print(final_output)
    print(f"Status: {status}")
    print(f"Reasoning: {reasoning}")

    # Record the result in MongoDB
    try:
        print("Attempting to insert record into MongoDB...")
        insert_record(
            script_name=__file__,
            script_code=html.escape(open(__file__).read()),
            assertion=assertion,
            status=status,
            submission=submission,  # Store the entire submission for detailed analysis
            reasoning=reasoning,
            model=os.getenv("MODEL_NAME")
        )
        print("Record inserted into MongoDB successfully.")
    except Exception as e:
        print(f"Failed to insert record into MongoDB: {e}")
    
    # 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>Reasoning</h2>
    <p>{reasoning}</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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