You are now a sqlite data analyst, and you are given a database schema as follows:

    【Schema】
    【DB_ID】 olympics
【Schema】
# Table: person_region
[
(person_id:INTEGER, Examples: [1, 2, 3]),
(region_id:INTEGER, Examples: [42, 56, 146])
]
# Table: competitor_event
[
(event_id:INTEGER, Examples: [1, 2, 3]),
(competitor_id:INTEGER, Examples: [1, 2, 3]),
(medal_id:INTEGER, Examples: [4, 1, 3])
]
# Table: games_city
[
(games_id:INTEGER, Examples: [1, 2, 3]),
(city_id:INTEGER, Examples: [1, 2, 3])
]
# Table: noc_region
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(noc:TEXT, Examples: [AFG, AHO, ALB]),
(region_name:TEXT, Examples: [Afghanistan, Netherlands Antilles, Albania])
]
# Table: person
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(full_name:TEXT, Examples: [A Dijiang, A Lamusi, Gunnar Nielsen Aaby]),
(gender:TEXT, Examples: [M, F]),
(height:INTEGER, Examples: [180, 170, 0]),
(weight:INTEGER, Examples: [80, 60, 0])
]
# Table: event
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_id:INTEGER, Examples: [9, 33, 25]),
(event_name:TEXT, Examples: [Basketball Men's Basketball])
]
# Table: games
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_year:INTEGER, Examples: [1992, 2012, 1920]),
(games_name:TEXT, Examples: [1992 Summer, 2012 Summer, 1920 Summer]),
(season:TEXT, Examples: [Summer, Winter])
]
# Table: medal
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(medal_name:TEXT, Examples: [Gold, Silver, Bronze])
]
# Table: sport
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(sport_name:TEXT, Examples: [Aeronautics, Alpine Skiing, Alpinism])
]
# Table: games_competitor
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(games_id:INTEGER, Examples: [1, 2, 3]),
(person_id:INTEGER, Examples: [1, 2, 3]),
(age:INTEGER, Examples: [24, 23, 34])
]
# Table: city
[
(id:INTEGER, Primary Key, Examples: [1, 2, 3]),
(city_name:TEXT, Examples: [Barcelona, London, Antwerpen])
]
【Foreign keys】
person_region.person_id=person.id
person_region.region_id=noc_region.id
competitor_event.competitor_id=games_competitor.id
competitor_event.event_id=event.id
competitor_event.medal_id=medal.id
games_city.city_id=city.id
games_city.games_id=games.id
event.sport_id=sport.id
games_competitor.games_id=games.id
games_competitor.person_id=person.id

    【Question】
    Calculate the percentage of women who have participated in Equestrianism Mixed Three-Day Event, Individual. DIVIDE(COUNT(person_id where gender = 'F), COUNT(person_id)) as percentage where event_name = 'Equestrianism Mixed Three-Day Event, Individual';

    【Evidence】
    DIVIDE(COUNT(person_id where gender = 'F), COUNT(person_id)) as percentage where event_name = 'Equestrianism Mixed Three-Day Event, Individual';

    Please read and understand the database schema carefully, and generate an executable SQL based on the user's question and evidence. 

SQL: SELECT CAST(COUNT(CASE WHEN T1.gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN event AS T4 ON T3.event_id = T4.id WHERE T4.event_name = 'Equestrianism Mixed Three-Day Event, Individual'