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.