There is an unofficial version of ChatGPT 5 that just came out, and I wanted to test its capabilities in analyzing a json file.
I wanted to test something interesting, and I believed that the FIFA World Cup 2018 Results would make a good test case.
At the end of the article, I draw a conclusion of this ChatGPT 5 test.

Setup

I know that the World Cup 2018 results are available for ChatGPT to reason, but I wanted to make sure that it would use a json file to analyze.
Luckily, this github repository had the data that I needed:
https://github.com/openfootball/worldcup.json/blob/master/2018/worldcup.json

ChatGPT 5 Prompt

I attached the json from the link above, and I wrote the following prompt:

The json file represents the FIFA world cup 2018 results.
- Which team name had the highest score and what was the highest score?
- What is the name of the player with the highest score in one match?
- What are the names of all the teams?


It output the following:
Based on the data from the FIFA World Cup 2018 results:

1. **Team with the highest score and the highest score:**
   - **Team:** England
   - **Highest Score:** 6 goals (in the match against Panama on June 24, 2018).

2. **Player with the highest score in one match:**
   - **Player:** Harry Kane (England)
   - **Highest Score:** 3 goals (hat-trick in the match against Panama on June 24, 2018).

3. **Names of all the teams:**
   - Russia
   - Saudi Arabia
   - Egypt
   - Uruguay
   - Portugal
   - Spain
   - Morocco
   - Iran
   - France
   - Australia
   - Peru
   - Denmark
   - Argentina
   - Iceland
   - Croatia
   - Nigeria
   - Brazil
   - Switzerland
   - Costa Rica
   - Serbia
   - Germany
   - Mexico
   - Sweden
   - South Korea
   - Belgium
   - Panama
   - Tunisia
   - England
   - Poland
   - Senegal
   - Colombia
   - Japan

In this response, it mentions: “Based on the data from the FIFA World Cup 2018 results”, which looks like it ignored the json file and used external data.

ChatGPT 5 Prompt Tweak

In the same chat, I wrote a new prompt to enforce the usage of the json file.

use only data from results.json


It produced the following result:
Based on the data in the provided `results.json` file for the FIFA World Cup 2018:

1. **Team with the highest score and the highest score:**
   - **Team:** Belgium
   - **Highest Score:** 5 goals (in the match against Tunisia on June 23, 2018) .

2. **Player with the highest score in one match:**
   - **Player:** Cristiano Ronaldo (Portugal)
   - **Highest Score:** 3 goals (in the match against Spain on June 15, 2018) .

3. **Names of all the teams:**
   - Russia
   - Saudi Arabia
   - Egypt
   - Uruguay
   - Portugal
   - Spain
   - Morocco
   - Iran
   - France
   - Australia
   - Peru
   - Denmark
   - Argentina
   - Iceland
   - Croatia
   - Nigeria
   - Brazil
   - Switzerland
   - Costa Rica
   - Serbia
   - Germany
   - Mexico
   - Sweden
   - South Korea
   - Belgium
   - Panama
   - Tunisia
   - England
   - Poland
   - Senegal
   - Colombia
   - Japan

This time, it provided the exact same team name in the same order but a different “Team with the highest score and the highest score” and a different “Player with the highest score in one match”.

Verify the ChatGPT 5 Response

Now I have different results, one I believed to be from a knowledge database, and the other from the json file, so I believed as well. I needed to test the output to make sure if the results were correct.
Instead of writing a python code myself, I also use ChatGPT 5 to write the python code.

write a python program:
- open the file json file `fifa-results.json`, parse it, and assign it to variable `data`.
- parse the textual contents into `object` data.
- iterate `data['rounds']`, from inside this iteration, iterate `matches`.
- in each match compare `score1` with the `team_highest_score`, if `score1` is higher store this on the `team_highest_score` and the `score1`, the `team1['name']`, `team2['name']` has its opponent, and `date` field.
- do the same for `team2`.
- inside the previous iteration, iterate `goals1`. sum the `score1` of each `name`.
- after having the sum of the goals, see if it has the `player_highest_score`, if it does store on the `player_highest_score` the player `name`, the sum of score, and `team1.name` and `date`.
- do the same for `goals2`.
- after the loops, display the information regarding `team_highest_score` and `player_highest_score`.


It generated the following python script:
import json

# Open and parse the JSON file
with open('fifa-results.json', 'r') as file:
    data = json.load(file)

# Initialize variables to track highest scores
team_highest_score = {
    "score": 0,
    "team": "",
    "opponent": "",
    "date": ""
}

player_highest_score = {
    "name": "",
    "total_goals": 0,
    "team": "",
    "date": ""
}

# Iterate through the rounds and matches
for round in data['rounds']:
    for match in round['matches']:
        # Check if team1's score is the highest
        if match['score1'] > team_highest_score['score']:
            team_highest_score = {
                "score": match['score1'],
                "team": match['team1']['name'],
                "opponent": match['team2']['name'],
                "date": match['date']
            }

        # Check if team2's score is the highest
        if match['score2'] > team_highest_score['score']:
            team_highest_score = {
                "score": match['score2'],
                "team": match['team2']['name'],
                "opponent": match['team1']['name'],
                "date": match['date']
            }

        # Calculate the total goals for each player in team1
        goals1 = {}
        for goal in match['goals1']:
            if goal['name'] in goals1:
                goals1[goal['name']] += 1
            else:
                goals1[goal['name']] = 1

        # Check if any player from team1 has the highest score
        for player, total_goals in goals1.items():
            if total_goals > player_highest_score['total_goals']:
                player_highest_score = {
                    "name": player,
                    "total_goals": total_goals,
                    "team": match['team1']['name'],
                    "date": match['date']
                }

        # Calculate the total goals for each player in team2
        goals2 = {}
        for goal in match['goals2']:
            if goal['name'] in goals2:
                goals2[goal['name']] += 1
            else:
                goals2[goal['name']] = 1

        # Check if any player from team2 has the highest score
        for player, total_goals in goals2.items():
            if total_goals > player_highest_score['total_goals']:
                player_highest_score = {
                    "name": player,
                    "total_goals": total_goals,
                    "team": match['team2']['name'],
                    "date": match['date']
                }

# Display the results
print("Team with the highest score:")
print(f"Team: {team_highest_score['team']}, Score: {team_highest_score['score']}, "
      f"Opponent: {team_highest_score['opponent']}, Date: {team_highest_score['date']}\n")

print("Player with the highest score in one match:")
print(f"Player: {player_highest_score['name']}, Goals: {player_highest_score['total_goals']}, "
      f"Team: {player_highest_score['team']}, Date: {player_highest_score['date']}")

Tweaking the ChatGPT 5 generated Script

The script generated from ChatGPT 5 looks solid, only with a few issues, but I confess that I didn’t put much effort to describe in detail what I wanted in the prompt.
I got what I needed, I just need some quick tweaks on this script and I will get what I the desired result:

import json

# Open and parse the JSON file
with open('fifa-results.json', 'r') as file:
    data = json.load(file)

# Initialize variables to track highest scores
team_highest_score = {
    "score": 0,
    "team": "",
    "opponent": "",
    "date": ""
}

player_highest_score = {
    "name": "",
    "total_goals": 0,
    "team": "",
    "date": ""
}

# Iterate through the rounds and matches
for round in data['rounds']:
    for match in round['matches']:
        # Check if team1's score is the highest
        if match['score1'] > team_highest_score['score']:
            team_highest_score = {
                "score": match['score1'],
                "team": match['team1']['name'],
                "opponent": match['team2']['name'],
                "date": match['date']
            }

        # Check if team2's score is the highest
        if match['score2'] > team_highest_score['score']:
            team_highest_score = {
                "score": match['score2'],
                "team": match['team2']['name'],
                "opponent": match['team1']['name'],
                "date": match['date']
            }

        # Calculate the total goals for each player in team1
        goals1 = {}
        for goal in match.get('goals1') or []:
            if goal['name'] in goals1:
                goals1[goal['name']] += 1
            else:
                goals1[goal['name']] = 1

        # Check if any player from team1 has the highest score
        for player, total_goals in goals1.items():
            if total_goals > player_highest_score['total_goals']:
                player_highest_score = {
                    "name": player,
                    "total_goals": total_goals,
                    "team": match['team1']['name'],
                    "date": match['date']
                }

        # Calculate the total goals for each player in team2
        goals2 = {}
        for goal in match.get('goals2') or []:
            if goal['name'] in goals2:
                goals2[goal['name']] += 1
            else:
                goals2[goal['name']] = 1

        # Check if any player from team2 has the highest score
        for player, total_goals in goals2.items():
            if total_goals > player_highest_score['total_goals']:
                player_highest_score = {
                    "name": player,
                    "total_goals": total_goals,
                    "team": match['team2']['name'],
                    "date": match['date']
                }

# Display the results
print("Team with the highest score:")
print(f"Team: {team_highest_score['team']}, Score: {team_highest_score['score']}, "
      f"Opponent: {team_highest_score['opponent']}, Date: {team_highest_score['date']}\n")

print("Player with the highest score in one match:")
print(f"Player: {player_highest_score['name']}, Goals: {player_highest_score['total_goals']}, "
      f"Team: {player_highest_score['team']}, Date: {player_highest_score['date']}")

As you can see, the script is almost the same, the only difference is that there cases where the goals1 or goals2 don’t exists, so it only took to replace:
for goal in match['goals1']: with for goal in match.get('goals1') or []:
for goal in match['goals2']: with for goal in match.get('goals1') or []:

After double checking all the python code to be sure that it is correct, I executed and I got this output:
Team with the highest score:
Team: England, Score: 6, Opponent: Panama, Date: 2018-06-24

Player with the highest score in one match:
Player: Ronaldo, Goals: 3, Team: Portugal, Date: 2018-06-15

The team results matched ChatGPT first answer, and the player results matched the ChatGPT second answer.
From these results, the answer “Belgium” was a ChatGPT 5 hallucination, which could have been from my prompt: “results.json”, due actually I had uploaded a file named “fifa-results.json”.

Final Test

 The previous tests were inconclusive, therefore, I decided to do the following tweaks the fifa-results.json:

  • Make Portugal the winner of the match against Spain on June 15th with 7-3.
  • Rename “Ronaldo” with “CR7 Ronaldo”.
  • Add goals to the match in order for “CR Ronaldo” score 5 goals and “Quaresma” score 2 goals.


The json is still the same, but I tweaked this segment:

{
"num": 3,
"date": "2018-06-15",
"time": "21:00",
"team1": {
    "name": "Portugal",
    "code": "POR"
},
"team2": {
    "name": "Spain",
    "code": "ESP"
},
"score1": 7,
"score2": 3,
"score1i": 2,
"score2i": 1,
"goals1": [
    {
        "name": "CR7 Ronaldo",
        "minute": 4,
        "score1": 1,
        "score2": 0,
        "penalty": true
    },
    {
        "name": "CR7 Ronaldo",
        "minute": 44,
        "score1": 2,
        "score2": 1
    },
    {
        "name": "CR7 Ronaldo",
        "minute": 60,
        "score1": 3,
        "score2": 3
    },
    {
        "name": "Quaresma",
        "minute": 62,
        "score1": 4,
        "score2": 3
    },
    {
        "name": "Quaresma",
        "minute": 63,
        "score1": 5,
        "score2": 3
    },
    {
        "name": "CR7 Ronaldo",
        "minute": 65,
        "score1": 6,
        "score2": 3
    },
    {
        "name": "CR7 Ronaldo",
        "minute": 68,
        "score1": 7,
        "score2": 3
    }
],
"goals2": [
    {
        "name": "Costa",
        "minute": 24,
        "score1": 1,
        "score2": 1
    },
    {
        "name": "Costa",
        "minute": 55,
        "score1": 2,
        "score2": 2
    },
    {
        "name": "Nacho",
        "minute": 58,
        "score1": 2,
        "score2": 3
    }
]
}

When I execute the previous python script, it returned:
Team with the highest score:
Team: Portugal, Score: 7, Opponent: Spain, Date: 2018-06-15

Player with the highest score in one match:
Player: CR7 Ronaldo, Goals: 5, Team: Portugal, Date: 2018-06-15

I tried again with this prompt and the tweaked json file:
The uploaded  json file has modified football competition results.
- Which team name had the highest score and what was the highest score?
- What is the name of the player with the highest score in one match?
- What are the names of all the teams?


It generated the following python script:
### Highest Score and Team:
- **Team Name:** Portugal
- **Highest Score:** 7 (Portugal scored 7 goals against Spain on Matchday 2)

### Player with the Highest Score in One Match:
- **Player Name:** CR7 Ronaldo (Cristiano Ronaldo scored 4 goals in the same match where Portugal scored 7 goals against Spain)

### Names of All Teams:
- Russia
- Saudi Arabia
- Egypt
- Uruguay
- Portugal
- Spain
- Morocco
- Iran
- France
- Australia
- Peru
- Denmark
- Argentina
- Iceland
- Croatia
- Nigeria
- Brazil
- Switzerland
- Costa Rica
- Serbia
- Germany
- Mexico
- Sweden
- South Korea
- Belgium
- Panama
- Tunisia
- Poland
- Senegal
- Colombia
- Japan

These answers are derived from the data contained in the JSON file.

As you can see:

  • 👍️ It uses the data provided, not the knowledge base.
  • 👍 The winning team, opponent and number of goals is correct.
  • 👍️ The player's name is correct.
  • 👍️ It also mentions that the player had this achievement on the same day as the winning team.
  • 👍️ It was able to reason that “CR7 Ronaldo” is “Cristiano Ronaldo”.
  • 👎️ It failed to provide the correct number of goals of “CR7 Ronaldo”.
  • 👎️ It didn’t provided the date of match.

Conclusion

After analyzing the results of the prompts and results listed above in this article:

  • 👍️ ChatGPT 5 is capable of analyzing the contents of a json file with limited information provided.
  • 👎️ The output isn’t 100% reliable yet, however, the tests operated on information that could conflict with its training data.
  • 👍️ It was able to generate a python script with a simple prompt to process a json file with minimum issues.
  • Even when analyzing data, it also uses the information with its knowledge base.