interactions: - request: headers: accept: - application/json accept-encoding: - gzip, deflate, zstd connection: - keep-alive content-length: - '4851' content-type: - application/json host: - localhost:11434 method: POST parsed_body: encoding_format: base64 input: - |- Jakarta Election Campaigns Heat Up: Here's How to Understand the System As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta. Initial Launch of Candidates' Campaign Plans on September 1 After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term. Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect. - |- Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration. Rallies and Persuasion Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability. Debates: Clashes Between Visions and Policies - |- Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents. Voter Engagement: Making Every Vote Count Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters. Campaign Financing: Transparency and Accountability - |- Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions. Before Election Day: Submit Final Appeals Now As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th. Polling Day: The Final Act of Campaign Activities On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been. - Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures. model: qwen3-embedding:4b uri: http://localhost:11434/v1/embeddings response: headers: content-type: - application/json transfer-encoding: - chunked parsed_body: data: - embedding: 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 index: 1 object: embedding - embedding: 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 index: 2 object: embedding - embedding: 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 index: 3 object: embedding - embedding: x0jguf0yoDwYbTy8G5TgPAH/Ars1Naa859EPPX98MLuXl6C6/KGCvA20lDxCzw69Yn8jO7Xf9zt6MwE80WPEO/KJu7x/Z747OYi+vOJXirtjjLi7Ff/NPC89bT1DHjA9f4+ZPPbeT71iXJm83QC6vXbbDr1loZE8dtGTvSbLEL1e3hy96POJPNuEajsxmQ89WFe0PF812rpXW8C7NrzIPAP5gjtVRSA8IYqyN06iwTvhMSA9NUoBvG3shjvOysw7CYu+vDiMMb1XWks6vhfROr1wMr3b85u8sXzbvEDbzzz5kas88/DMu43WuDybvio8e82aOxU55ztEI4W8HxKcvOFmQLybhpy7aSiAvM9XIrxOJpq6QMBWPJtm1rzDw7s8sgiuuknyTzx2lh09EAcHvDg8T7xxYaY8Oar+PF2gQjwFc8M8Li3wPAfeUTzKL7A8+HV3u/1ngDwzlsg8sayouw9hIT0nnug7uxKxPDhljzyY5Q27i4mgPAP/JDviYNI8V49Nu7dI6ryzTOO8K1hQPOxOtrsvRuq8PAavvDFBsrtbXUk8UPFuvFXwQjtzteS7eQwbO6qNhDygG9E7jiC0PD3pCbzPgQq8V961O8uvqDrRDww5AEHyPG7kFjtmDcI77Gq9uokOBLsZoSU8OyRPvKi/jbt0iHi8Gsymu6fvizxo19w8L8j3O2lSTbt1qoQ79gBJvJ/j9ruhGs67kBGeunwxojuxV8G8e2mbOiDjbTxzPdk7LMdROpMUG7tKg/G6wXDXvL1XSztxBQK9Nv0ePYEJWjzabvy6Ue0AvKSzoDqD23I7fEvdPKDGTTz6/eM8MIOIvAax9jvVvWs8IYrmOgkcljxW9dU8HRJbO4zAWTwvQ/i74kHoO96hpryJ8sG8n2vEvPj/NryxmQ28tMZVvHCTlbyq/o68zyKLvMcEkjstZhW88LQavZgjR7zf6T69xciJutaWDDuAfiG9D7LwO8TkN7zRMYk6DvyevEDXtDw3n4W8aKkQPGLj5zu2ioO8d3WBPJ1a0Ty7i6+7brDIO3By3DzffIA8+vtyPCmXW7q6KEY8gbAHvFR/trq8UxG8H42FvBGGuzm9D5o8uiEBvJOBy7pW6728r8VGuaLYTDzY2Km8X15Cu0wtVzxQpK88AbcdvDIkAzv8lmC8SDu7PIINaztMZY88xW4XvGN6qTyrjLS8jhTIO9C4VrryuAc9Qiytu9Eou7sJ8QU8skMUPHySDDwRHqS8PuYjPNMt+To8rbe8rRCPPNWgDj1lnfO8+R2KvdIaWTrrPma7SwX2O2iGzrttFMa8jpe1O2uxxrtaJY27/OCQvLKX9zyDg/E8wZxUPDyCorzW6228q0kfPO3HXLzAxCs8YHaquzarDz033FU8XveUPC/o27ten7c48s/au8fZt7oXTeI4ks6Gu2paGzxf9YW7Wn0+PHB6kTw3fh8794L6O9XB9Dvg/w29oGtuvLvLzrsFG5M8FBo4PPMmNLyF69e6iA8ju3J0jDzQlAm8O0YOPFx3cjzxAIW7H0v7vC+2PTwKWsg8WCIRPWecrLxzEJ050r1GPCowKb21x6g8VybOuieHibxeyg29A+niuzQJrzvxl6k7ctZKPAqbDjsh3Ts9nwuju+ZMD7umqxo7C1LBvAwFxTooXoY7dlsMPOGBsTu29kE9m3MMvBBSpDuDHeY712RhPER8FL0kjL87iop1vR187LzMDWq6yyl9O0DBBD11Q288itY6PCnHsjzTNBy8WXO1PP0vXDz75+m8kjcxPN9/tjyOMWA8rAelPNZQmjwmKTm8hfVDvEfqVzwofJ+7QgQxO9qELTxAfkg8FLBJO1jr1zxuOqC7aekvvaBorTnSS6K60zuNO8UVTL235Q28e7m8PLm3uTo3x7m6ivIaPIUXPT18cZu8rf4pvK3TIbzMpRg9zmMsO1vWITzB+RW8pDKKO2z3xDqneRO9iT5ivIcP8jzaUcQ60sFlPPSh/zvZVqy8+fFePKC+Hz3q8Km8aOeaPBrXeTy+qww8FqnOu2l6Mbz0LeE8BroBPGQU3buhU/W83kkuO0VjCbytJE+7cE77OyAMQL3143E8ScfzPHBiWDorS/w8uBmRO9rwyDv78wo8cYOqvIMl+buTtx26SHwivbTyTLy0gYg8avrJvHMc0bv2apM8Q2pFPOMRlDz35NU7ta8SPO1jqrukG4G8AdOzu2tKljsVDJq7Gdc7PPHMgLzT9Ek7DPwwvBVeFLyhwpu8v3RWPHBL6jyVeFQ88RkwvGJjNDx9nLo5IM7qO1PWoDvnHsU8z92Ouw/p8zzrwi68IFpLPTQaQjv8bOG8iW3cvPZTTb0G/nE5XOFwOzKZyjxRTxQ9IHoXvXpZczvCUra82ICovIayET03vy490oO2vG6uwzzG02A8RVwJvHaPmrz6ALO7uYkOPEW57zuX7os80wlAPR3jv7oDv2c8niaRuwkleTyowcu7Dv7wvFJfDzqxG2i87maePKv3djymf++7yOTKO4kWE7usUP68yn9+PL7ZCTyItuI8rdBGvFu30DvFJ5M8ZOgfPUHtH7wxMh+82+AlOx9y5rt8Soy8o96tu0h9qTymPkQ8b3UHPTztETseium7zEkAPQ/P9rwVc9K74IYFvfv4pTxRtXS7/eGhOyDbjjtygki8i8qnO2f7x7z8WQg8NMc2u/Tw+DzreUA94LCmvPvPnryTE9k8efjfOiwn6Tx4ORE9U5WhvJ+WZ7xfk428TgdbvDxwgLvb2x+82ILlO+1BIL0UX4Y7V9+MvCNXCryvX/67thU2PC7tTTx6WAu8PTyFuwWzxryqqYW8Hzvvu3gNjTzVY7O6rDRHPMhvn7yowyy96HabPDoPoTw9EJm7pqMaPHe6hTyjEBO78NEBvfhSET2tPbI8gTnbO+IwKLxnHtO8jx7HPIHjgLrNz3M88rtruwL5grw3oZI8bIkdPEDi0DyDK4k8Bp1MPMLg8Lq2Kwm8JrW1PA0CALthgdc7bIKIPM2nKLvcIAi8Dtt1PPOz0Lvldc27pZecvNFSET2AKVI8KSrXPHBbHbwQAiO9x2B+vLQOeDs10u07IGVWPHC5Jbw7QkM874mnO2LPw7z69Qo7tVQBva//Rz34Wwk9IBMQPXeqcDx2lW28vi8xu1bm4bswx/s8NjJVPEuSw7wKx488vPjUOwEVgbz44Iu7DvoBPczu7juSpwe8i+rNuyTXYTwBAiG8yAqJO/1tlTyDnQG9SF3bPDYU6rtW5lO8CL+CvBluqTwS6fI60lqCPDGlhzwzYw+8HEbRvKQQ3Dtvc3Y8d2y5vIseZLwVKue8CtmmvLEQtbuNXR28ctzyvLWYlrxoDTI8gzOfu/1hHD1+iQm8xIkqu4aNObwIiEe8texfN/iX9ruHj6E8JwwmvSoTizy8pp27GYCrOw4lHbv1Ki+8DE3dvHsaEzwXZC89y22AvMuSqDuvxrM3GJ1jPMtGyLyKL488HDKHPEc92zynIQM8VKjkvNxczryRHJ28LMqFOsfkAzxfkdG7lEH/POjIer2D5Tm8NjD9vMd987znDnQ9kLSnPEJ7Mrr0fzE8upm0u2dSlTzz1SY9Dh0bvZq6pDx1qdu8RorMPKTy0LwVvuw7s1SLvEI2g7x45ro8WvmpO4OOJjwaQ8a84TasvFztg7xtfjc87uajPApTOLssPpK8Zd80vHjoRz1sEc4817jfvMMeyztp8Xu9sNLUuToNtTr/5fI8jjeWPJp0QbzWAy29UMA7vf8ZdTx1tF48bMzPOnqogzyYCQk9AhH0OY80f7xk3Km875C0uw8oaT1mZnG7050jPBnxCTxrzFq7WoW0uVyEZzpvXau8IEfuO6kR0TyOKrq4gJKJPKdR6Do6c2e86L/rPLJTCTw6UCW8jSjWvA5WJzx5Gw+96MyWPKoxSLzrsKI8Uh/Auj1IcrwAe5C8pnoJvHZjmTxH8HW5hXeovPopjT0b3H08KqT2u5OKjDwzOjI7TSKuOkczBj06ox48/cCFvEsUhzwbqDY8y3mAPAun8DxXdgo9sgcGPe03PzyP22I7ywpPPIJUEb2TWIG8ssqoPC/GhTueRK66sH5AvWxuFT3jXgi8jd/YvEHhlTxnOMU8uGmwPHb1+bwxWiI7yUEDvRf/Ej0YkgE8x+JRO0h5NrxqUv48F8K8O6XXlrwZcDq8+e9ZuyZHHLzXaos8FvQhvO4I/Tw5ejS8Fa09vCNOiLzkJIe8cY+PPOZRQLsurmy7K/KOvBTYgL1gR9g8baAwPMMwFb354xg8PXAQvLA1frwNXgQ8+TTkvFoZD7y1ddE7bmHSu7Z9irz+4ZC7WJyNuzfT/rtlV3Y71l+EOwloyTviYkK8UdRkPRGRx7tm3GK8GJ4WOdpuRrwwMie8QqkRuTvlHD0XTRs7TUj2vCYWjrzcehk8dvquPCNZEbxTeo28UfkgvIC1NLzwPly8MQldvSQn97vA1aS7RBn1uO+NEDw3mAU9Kzk7veLnfzxtLbU82OC1O6AWvTs+3Hq8682xujXnEbwsd0w94rV3vDF5G7y3mLS7ohG7PAk8GD3cGXM71qAhPfdKIDxS/Ei6GErmvLcrYLzXyww8MrCgPMDxGbz9IZg8C8LnvHBKhrzlBbe8wvGXPN/aoDxqxZi7zQKyO7YKqLzNZzs94LmjPENmNr1upmG8iF/COyvwHbxH/Ss8e8wiPfMYjT0jiXu7D4DRPINe+zqkdN26HgSePJc1nLz+TxU8kCfJu+dwgLycRBo9bj8RPZ0yvLzIkg69Zgjvu1yS4jxSPVu95ZPsup9sFLuFYDC8wBOuO++5QjzXZcA8NFQZPF9G67zTSQU8dukaPApQ9bz2IcO8OfoLO3VyJjygGe689KR8vEtwsDsFhce6do0CvFVx7boeRRU87IywvHsxCT2A+pq7ZQaUuwMKpjrNc0O8RXQvPDYYjbxdPVk8Ww/UvN0PJ7wXlNs8wW6pvOFzBLwhuqi7dBRdPTuxCTwVPWg61bzLOgZga7xDgY67vcY0PGDnDLxWdgc8as6gPFXcKjz/jBC8ja+bu72StjzOdZ+8mmmMPLD/xbutv546h5YXuwwYzjxiHvK8PJx+PBq3Cj0FbgI9rQ8UvY70vDzX5D+7z30IvP6Yirxcdya9eF0WPWJ6RD3PcJ47o2UJvKN8wjqdjd+6Bai1ursFiDtGdBW9gR3xO0xeKTxhR6A8cUYIPayxJDymjRe9I3CVPPh5iTwqg+Y5PPSNu4XXSr2uhx+7lZEuPI7oLjs+gT05H1xpvBsnBjvV9xo8h+DDPEKoiDtfK0Q8Yv7hvMKfwTyoA4w8GeJxOiuXc7y0isC8OSkrO9EtlDxr2mw7f9+LvGSyBLzSbtg8qKj6PGQmxjxLjhw9qlV/vAc1hTg2lXE8hhiNu/sIa7lUBBk9FQ6PvFgjgzzZMIS8HmeevEhlB715qye99/eoudKyPDuu1d+8vnIFPRqy4DuGJXU8LQLcuitFsjrOgSw88UQePCadIjz3iOA5CV0TvJnX77zZY2A89+eZukKBxTqo0TS8ZShFPE9VAz1eIf47WGuXvIivcrxNfq67Qsi3vMfxv7x7x627S6/WvJ6GFzzDJ1K7QIvTu2xS8zx/tls8sUrxvMWSYjxOI+k8fkhBvK82mLoTsG28SKQ1PUNDcbyGMB69MOGgPGMNfLw8rAe8OBLLvCU62by4QWG8tV2/vN2B3jwFLKY8SmUcPNz2tDuxIAI8PueoPAHkK7xsm7u8SPJpvEWGzryB1Vq8ZJP2O9XCMjzMsva83owWPIZNsjzdXjQ8Yc11PJfzBT3ENWY7ZvkMvTKSuzr9HiQ94IEuvXMSD71Bvxc7122fvH8/QzrHe0o84CiuvIpKM7wVfka7chtCvO2W/rud7iG7BekRPdIzhrv6Ipy7ut/ouUBa+btAZn273zlku6yqFL21smc7QGyIO749JD2MySa8AM/5vNyskbwkE008EuhFu2OcPLvi9z86TyPeO/81Hbyp39M8BKSQOqEZgLwB6qC8W7nMPFpSyDx15K68fyLIPBhtPT1eEPW7zM8sPUUIoLxmxG88sS2JuqpiUT3It/+6KnyaujdGurxR9xI9kFeWu+ZQOTvOM9Q8mo0BPRqTPjtDwJI7ItAEPfE4hrwvJGk8kkKuPHYYiTxlsYk8bqsfPBNjTzyYvzM7pmAyPRKWiTzRa5Q8QUW/vKvljzwnDyi9ZwXPPHQvgTxBESU9Y19uvcHhJrwEBTU8gcgwPMWRwTyeKOG6EEDKPL4yuLyHUam8xc/dPKZNRTxumRg65eBZPN0t5jwzqCe8sAN0vAQEpzosJFq7kGFBvO4e77zKGcq7lGTVPFB3JD22FNc71U0KvNxiPLx39qs8sn07uvKBV7yo+ku9QTaVPPeks7wMHdo7Cm60PKT0CjyA71A8+5UyPMTsVDvqU+m8qs4PPemnKT020lw7IGk5PNmChTsNGLC76elru0L6EjxTQse8aTU+vL13KT3cY/U7eYe2u1+ZsLx9JWW4QBPVPO+mhLsqqVa8CAklvJ42IbxJqs28PzTGPHdahTxoJhm9SDwdPLzjADujW7c8RT4jPI06Fr03Mrg8xUKPvNBwODy92LE7dWIEu1jgGzuUTa48KyzzPI2Zo7zKgoQ8dgkLPIr8y7y6fdI8lIa3PIxkSrx6ZYS8gLiBO4VCwbz1ubQ8mg9vvICXyDxO4k09TVPXu7hww7yp2II8fCBmvA9yzrxtU9G74+bhPHX6hjvfE+k8Imy8vLBc5LtcbaM8vQaHPPJuAz0ISpI6Z7+5PN63Uj1TmvS8wdmSO0QwobxZrkY8q7blPHNoq7x4L0C8O4ElPeaeBrrCJ6y8tG9oO5/hzbzl5f28U5aYPG80ELwcxtM7pEszvTUFlzzL8hq8tHTdPBmKwztKCjI8BMg1POISRTwk5YM6/PHvuj5fN7ugpjS9lheJumCnqz1WRUw7Vs7tO0NgO7vu0pK7yEumuvVhFLt18Z68fpALOkLT3ztYlJS7rNKQvN9G57yvO7k8DznNPC9lWjwcLrq8tR1ovCacKLx+mT+7SPbtuwZsWjpi0R+5U1c3vAcuyzv3Mgo9yzhZvIN5g7z19rA7PFNEPKZ1LTw29Bc8FiATO47vazxKCAW8S48mPLZGOTxsWWK7Qxp4vMmFxDyNs3g7q0EwPGUSCbw4kam8J7uivMvX6TvkQQo8R/O4O5k6CL13YeY8Z7WWPFbNA73VS908s3jAu+0FzDvbKja892MRPU0NpDovkgO9uRqAOnd1vzyeuRm84HLju2LR4TwpuuM8EZLdPEaiBjwp3aq8ZTdFPVK1+jwy5y+8ZTiUuyaXhbxl2dE7l+8ru7SRtbvHur48mJD4PCqjxTwcUY48No88vNWC3bz3oRs8wnYZPaVttbwOX8a8t/fzu1Z2Eruh77e73palvDpVWrwGBA+8QN8GO0/pTTzF/Kq8BtVJPC9Ws7xDCEc8eZ3kOwtc0rzhSs88ctK9POm4jDw445c7YEwCvXI29zy6KBm81s6lvDGQOjz28Le8JxzNPN7/KL3BsR89PkhhvKHBGb1Ca8M86NXVO5Hoxbzce6287kixu8w0Az1wrjW7BHZ3PFoRnzylOyO7pF8HPP0AJryCfI+8pBh5O83V6bto+yQ93D/nPOMS2DxG8z081rt2u3zB07xOfOA8V6KHuxZkPjwvS/M7+dqYvAwQ7zqQqdw6VuavvOejCzt2HKa8xDDTO29ftbyGctG8D177O/7/E7wf/SQ8PLpjO1/7irtp0nI8f0XmO7710rxxSLQ7yRA7PeOshrxWP3y8Arb6vLT2RbwBuTa9XeDWvPLexzt3nZs8KsDYO/h+NrwTg5q8NSbKO8mgJTtpssS8TnGVvNjVLDy+Zhw8f04xPK0ZNDxXshm9ElykPLvY67u3ise8BVDRu5JoAj0E1rQ8aoAzvN3z7rw3SLS8ZdUGPNH7k7yFM9e8sThxPG5oJj2IvNe83ttZuxyjVzxLmHU8VjpDPHe7+Tt8vd06QUKOPERIwDuar4c7nYEWvSAESjzbZcM71GQuOyCdjDlbSh88WthCvCZ3r7x5SfQ8QPjQu4wsP7xlNaY8nwIfOlfpyTxSz4m7e071u+rGrrzCmZQ8+0FOO7w0Njw2nLM8WWqrPOSmE7uvGIe8LStOPP6geDvewES6FVmwPNlWXjlOHWm84+SXO1DeBr1wL+G7zAeKPNhYZ7whD6o8XuwnvIV3gTumF5I8hH5BO7rnnrt494W8KyXLvPNrFzxT4Qo7UuQdvAL/hbxfhgM9ZQJVPHFi7TxF5sY8hEa4u4Q4MLzUxAa9eOTnuwHbq7tt4Nc7zc4aPFAk4Tw0Ooe8V/M0PJxkk7uGPas7yQtOO9dRyjw1GCw8CM0mPMWxWjqqgtg8UAqgO+N1AT1cYAE9p3SYvPScOzwSYRe8IxQmOmg30rxb8F88tISGuxydlTyyeaK8Apo4vDnbvbxNJHE7otSyvNsbWrx6LU86dREQPQyX2rxHxTW7IptUPPyP+7uxaFs8sz+/PAzzA7wbt+O7Yo7ZOx0bgbsdasE8o7ysuQcxzzuWdrc6pIoyO6BYE7wLc0e8xE0TvTe7Hb3PhRW7oAD0OmZUBbtn60S7tPoUPEIxeTtcp7W8de+MPLYXFr153P67zcQevBiXnrykHqO8mM3GvGCh/DvTdqa8dWrQPHC2j7xdAzS8FOgJuycS/rxu+zI8Uc8BvOWhl7pYbmY6oolVOw6dMzymtay8i0l5u2Lchrzv+4y8u0S6PMhojzxIDhy913gfPDpJOrzp+SG8X+2gO7YakLuOgMu79aH+Oshdhrzj52C6/muSPPcCgDxAzQK8X5M4PJlDxboSR4W7t+OVPIbYvryJ1xQ95qVLvGRnDjwz+yS8URIxukoWIzs3qLU7SCtsPBq7Q7xxvVK87/yIujcKN72Ir+47OYN2OzxoZ7vqxLY8mbORPKX8Lrx9fuy8pZXKO6gxhzwLd6w7MuJovNyBe7ysjHE8PFUyu0IpoDtnrLU818BtPC1KAz34PVm8j3iqvJpqnzyf3xI8GeiyvEre/7nOaKs7ZHuLPL03fjxa1mq8HcQKPDmyabwS66C8pzPOubI9BD1fELe8Hd2RO6WVPLtl5C+7DM/FOx3jmjzqO3g8MyYKvHeX0DznaqK8insXPUE6Br0Gc9W8nzoePJusFTxfe7o4NlqfvF6Oxjv9sLw8EgfAPBmgDLy/Dn+8X0ihuwEYTLxg9LU8sSlNO/WPfzxOSpI7pDGnPM229jxuEQ69AwQcPAcQRrxHb9W8W9JKvJTXfrsjEtW71A8WPLx1/js1NNm8eVpPO8rnDL30PsW8nOEOvRzhz7yLONM7wS/Mu9iL5zsPZli7hCEnOw3Fury1rZ276xTkvBP4zzt1Mf08/GptPLV7DL2zd7k7kOhkPKbTAzzKjhY8fC0bPfPfzDwg9FY8Ln5POpa/v7yvFiA8G/3DPP00H731aRG9RmWfvD2Itrx9Xes82NU4PK1T8Lx603g5gFijPNvnCrzBjxw7mJW1POvZVjxdnys9x44cvI7TGD3j8HO8CjPIOu1eTjzbRQ88jqbIO2rKWry3OzO8Sr73vLKO/jswSeO7yrFtvNU6UTxrYBO96oAtufisVLw2Iw+8UVIYvbdkz7wDrrU7HKzlOyjS0bzjHLC8pLUMO5nclbwidPW8VcdBvZtu77zRqvQ8rRSRvB6V5DsucYW8V2Xwu2uFobxRW+s8cEcpvLPxJrwtv0G9GhY7vHC52Lw0aHA7fbVkOR4UbLshYZs8baJSPKJKdTtAu8Q7JJaRvDq/PDs88Ic8JR88vPTNMzzSaky8lQunvHbMizxKQ4U8id2KPHSxmTtQkAm9wd6kvJNvATzj0qM7c1+9u5rmu7tU3ic98/WZPCol2bzNokm8iSVXO7sa4jwEVhG8xT3Pu5+SAL0mIU88eisgvONF67xYM068HouPu51Kl7xA8qu7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application/json openai-organization: - enfold-systems openai-processing-ms: - '854' openai-project: - proj_XYweeUJpJHbbRSNsezto5Wfh openai-version: - '2020-10-01' strict-transport-security: - max-age=31536000; includeSubDomains; preload transfer-encoding: - chunked parsed_body: choices: - finish_reason: tool_calls index: 0 logprobs: null message: annotations: [] content: null refusal: null role: assistant tool_calls: - function: arguments: '{"query":"Bintang innovative civic engagement feedback citizens Jakarta election"}' name: search_documents id: call_KJ0lkxmRRzDYnJw7mFWHlwQ9 type: function created: 1769001388 id: chatcmpl-D0SMOLCHuJI24tOe3j2GdQXAVwWax model: gpt-4o-mini-2024-07-18 object: chat.completion service_tier: default system_fingerprint: fp_c4585b5b9c usage: completion_tokens: 22 completion_tokens_details: accepted_prediction_tokens: 0 audio_tokens: 0 reasoning_tokens: 0 rejected_prediction_tokens: 0 prompt_tokens: 498 prompt_tokens_details: audio_tokens: 0 cached_tokens: 0 total_tokens: 520 status: code: 200 message: OK - request: headers: accept: - application/json accept-encoding: - gzip, deflate, zstd connection: - keep-alive content-length: - '140' content-type: - application/json host: - localhost:11434 method: POST parsed_body: encoding_format: base64 input: - Bintang innovative civic engagement feedback citizens Jakarta election model: qwen3-embedding:4b uri: http://localhost:11434/v1/embeddings response: headers: content-type: - application/json transfer-encoding: - chunked parsed_body: data: - embedding: 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Process: 1. Call search_documents with relevant keywords from the question 2. Review the results ordered by relevance 3. If needed, perform follow-up searches with different keywords (max 3 total) 4. Provide a concise answer based strictly on the retrieved content The search tool returns results like: [chunk_abc123] [rank 1 of 5] Source: "Document Title" > Section > Subsection Type: paragraph Content: The actual text content here... [chunk_def456] [rank 2 of 5] Source: "Another Document" Type: table Content: | Column 1 | Column 2 | ... Each result includes: - chunk_id in brackets and rank position (rank 1 = most relevant) - Source: document title and section hierarchy (when available) - Type: content type like paragraph, table, code, list_item (when available) - Content: the actual text In your response, include the chunk IDs you used in cited_chunks. Guidelines: - Base answers strictly on retrieved content - do not use external knowledge - Use the Source and Type metadata to understand context - If multiple results are relevant, synthesize them coherently - If information is insufficient, say: "I cannot find enough information in the knowledge base to answer this question." - Be concise and direct - avoid elaboration unless asked - Results are ordered by relevance, with rank 1 being most relevant role: system - content: What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election? role: user - content: null role: assistant tool_calls: - function: arguments: '{"query":"Bintang innovative civic engagement feedback citizens Jakarta election"}' name: search_documents id: call_KJ0lkxmRRzDYnJw7mFWHlwQ9 type: function - content: |- [6429d519-77af-4097-b2d6-b2060d67ab25] [rank 1 of 1] Type: text Content: Jakarta Election Campaigns Heat Up: Here's How to Understand the System As election day in Jakarta draws nearer, candidates are out in force using various strategies to woo voters and prepare to exercise their democratic rights. Citizens make their voices heard as the city vibrates with life. This coverage offers valuable insight into campaign activities while offering an in-depth guide for understanding electoral processes in Jakarta. Initial Launch of Candidates' Campaign Plans on September 1 After September 1st, when campaign season officially kicked off, candidates have moved swiftly to engage their bases. Amira Bintang, an upstart candidate with extensive social activism experience and promising urban development and public transportation reform as key platforms of her candidacy speech in Jakarta; incumbent Rizal Harahap relies heavily on his track record and highlights all infrastructure projects completed during his term. Campaign Strategies: From Digital Battlegrounds to Door-toDoor Outreach Campaign strategies have taken an advanced turn as candidates leverage digital media to reach a wider audience. Hashtags, viral videos, targeted ads and targeted messaging can all play an influential role in changing public opinion with just a tweet or meme. At the grassroots level candidates engage in door-to-door campaigns personalized for individual voters in an attempt to connect. Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement, while Harahap launched a series of webinars featuring experts discussing economic growth under his administration. Rallies and Persuasion Jakartan politicians know the power of an impassioned speech cannot be underrated, and candidates have been taking full advantage of its effectiveness at rallies. Rallies feature vibrant colors, banners and impassioned discourse in an attempt to win converts over. At one high-spirited rally on October 22, Bintang outlined her policy plans for improving education and healthcare to an appreciative crowd while Harahap's rallies often consist of shows of solidarity from various political allies united behind his plea for continuity and stability. Debates: Clashes Between Visions and Policies Debates are one of the highlights of Jakarta election campaigns, allowing candidates to outline their platforms and discuss critical issues. On November 5th, citizens witnessed an exhilarating debate between candidates Bintang and Harahap over whether the city was prepared for digital transformation in public services; Bintang advocated an aggressive move toward smart city model while Harahap advocated a more measured approach so as not to alienate less tech-savvy residents. Voter Engagement: Making Every Vote Count Ensuring every eligible voter is engaged and informed remains an ongoing challenge for Jakartans. Civil society groups and independent bodies host workshops and publish voter guides to inform voters of their rights and choices, while an annual democracy festival such as that held on November 20 featured interactive exhibits on Jakarta's electoral history as well as mock voting booths for first-time voters. Campaign Financing: Transparency and Accountability Campaign financing has always been a contentious topic in elections, and this election cycle is no exception. Bintang's campaign, funded largely through crowdfunders online supporters, stands in stark contrast with Harahap's sophisticated machine backed by both private donors and party funds. To protect democratic decision making processes from any undue influences on decision-making processes, Jakarta Election Commission mandated strict reporting and transparency measures during campaign financing decisions. Before Election Day: Submit Final Appeals Now As election day nears, candidates make their last appeals to voters. Bintang plans a visit through key neighborhoods while Harahap plans a final rally scheduled for late November. Both camps are honing their messaging and policy proposals while encouraging supporters to make an appearance at polling booths on November 8th. Polling Day: The Final Act of Campaign Activities On December 6th, voting booths across Jakarta will open their doors, signalling the culmination of weeks of intense campaigning. Voters will cast their vote and candidates await results that depend on how effective their strategies, speeches and outreach initiatives have been. Jakarta's vibrant election campaign offers an insight into its flourishing democracy. As the city looks ahead to an exciting new chapter in its political history, electoral processes demonstrate the significance of people-power in shaping our collective futures. role: tool tool_call_id: call_KJ0lkxmRRzDYnJw7mFWHlwQ9 model: gpt-4o-mini stream: false tool_choice: required tools: - function: description: |- Search the knowledge base for relevant documents. Returns results with chunk IDs and rank positions. Reference results by their chunk_id in cited_chunks. name: search_documents parameters: additionalProperties: false properties: limit: anyOf: - type: integer - type: 'null' default: null query: type: string required: - query type: object type: function - function: description: Answer to a search query with chunk references. name: final_result parameters: additionalProperties: false properties: answer: description: The answer to the question type: string cited_chunks: description: IDs of chunks used to form the answer items: type: string type: array confidence: default: 1.0 description: Confidence score for this answer (0-1) maximum: 1.0 minimum: 0.0 type: number query: description: The question that was answered type: string required: - query - answer type: object type: function uri: https://api.openai.com/v1/chat/completions response: headers: access-control-expose-headers: - X-Request-ID alt-svc: - h3=":443"; ma=86400 connection: - keep-alive content-length: - '1513' content-type: - application/json openai-organization: - enfold-systems openai-processing-ms: - '2534' openai-project: - proj_XYweeUJpJHbbRSNsezto5Wfh openai-version: - '2020-10-01' strict-transport-security: - max-age=31536000; includeSubDomains; preload transfer-encoding: - chunked parsed_body: choices: - finish_reason: tool_calls index: 0 logprobs: null message: annotations: [] content: null refusal: null role: assistant tool_calls: - function: arguments: '{"query":"What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta''s election?","answer":"Bintang introduced an interactive app for gathering real-time feedback from citizens about daily commute challenges, which was recognized as an innovative form of civic engagement during Jakarta''s election.","cited_chunks":["6429d519-77af-4097-b2d6-b2060d67ab25"],"confidence":1.0}' name: final_result id: call_xdN8TNZZHFQSL0tRWTaIHf4G type: function created: 1769001390 id: chatcmpl-D0SMQ7hzSkBJXPCVsxaDtcnMXBClQ model: gpt-4o-mini-2024-07-18 object: chat.completion service_tier: default system_fingerprint: fp_29330a9688 usage: completion_tokens: 101 completion_tokens_details: accepted_prediction_tokens: 0 audio_tokens: 0 reasoning_tokens: 0 rejected_prediction_tokens: 0 prompt_tokens: 1405 prompt_tokens_details: audio_tokens: 0 cached_tokens: 0 total_tokens: 1506 status: code: 200 message: OK - request: headers: accept: - application/json accept-encoding: - gzip, deflate, zstd connection: - keep-alive content-length: - '1886' content-type: - application/json host: - localhost:11434 method: POST parsed_body: messages: - content: | You are evaluating whether two answers to the same question are semantically equivalent. EVALUATION CRITERIA: Rate as EQUIVALENT if: ✓ Both answers contain the same core factual information ✓ Both directly address the question asked ✓ The key claims and conclusions are consistent ✓ Any additional detail in one answer doesn't contradict the other Rate as NOT EQUIVALENT if: ✗ Factual contradictions exist between the answers ✗ One answer fails to address the core question ✗ Key information is missing that changes the meaning ✗ The answers lead to different conclusions or implications GUIDELINES: - Ignore minor differences in phrasing, style, or formatting - Focus on semantic meaning rather than exact wording - Consider both answers correct if they convey the same essential information - Be tolerant of different levels of detail if the core answer is preserved - Evaluate based on what a person asking this question would need to know role: system - content: |- QUESTION: What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election? GENERATED ANSWER: Bintang introduced an interactive app for gathering real-time feedback from citizens about daily commute challenges, which was recognized as an innovative form of civic engagement during Jakarta's election. EXPECTED ANSWER: Bintang introduced an interactive app for real-time feedback on daily commute challenges. role: user model: gpt-oss reasoning_effort: low stream: false tool_choice: auto tools: - function: description: The final response which ends this conversation name: final_result parameters: additionalProperties: false properties: equivalent: type: boolean required: - equivalent type: object strict: true type: function uri: http://localhost:11434/v1/chat/completions response: headers: content-length: - '845' content-type: - application/json parsed_body: choices: - finish_reason: tool_calls index: 0 message: content: '' reasoning: 'We need to compare. Both say interactive app for real-time feedback on daily commute challenges. The first says during Jakarta''s election and recognized as innovative. The question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta''s election?" The expected answer: the app. Both answers mention same core factual info. Yes equivalent.' role: assistant tool_calls: - function: arguments: '{"equivalent":true}' name: final_result id: call_u9kj2xm2 index: 0 type: function created: 1769001395 id: chatcmpl-845 model: gpt-oss object: chat.completion system_fingerprint: fp_ollama usage: completion_tokens: 97 prompt_tokens: 396 total_tokens: 493 status: code: 200 message: OK version: 1