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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.
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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
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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
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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.
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
index: 0
object: embedding
- 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: 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
index: 4
object: embedding
model: qwen3-embedding:4b
object: list
usage:
prompt_tokens: 858
total_tokens: 858
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '2780'
content-type:
- application/json
host:
- localhost:11434
method: POST
parsed_body:
messages:
- content: |-
You are a knowledgeable assistant that answers questions using a document knowledge base.
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
model: gpt-oss
reasoning_effort: high
stream: false
tool_choice: auto
tools:
- function:
description: |-
Search the knowledge base for relevant documents.
Returns results with chunk IDs and relevance scores.
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: http://localhost:11434/v1/chat/completions
response:
headers:
content-length:
- '1139'
content-type:
- application/json
parsed_body:
choices:
- finish_reason: tool_calls
index: 0
message:
content: ''
reasoning: |-
The user asks: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" We need to find info about Bintang (someone) who introduced an innovative form of civic engagement for gathering feedback from citizens during Jakarta's election. Likely from a document about social or political context in Jakarta. We need to search the knowledge base. Use search_documents function.
Let's call search with query: "Bintang innovative form of civic engagement gathering feedback from citizens during Jakarta election".
role: assistant
tool_calls:
- function:
arguments: '{"query":"Bintang innovative form of civic engagement gathering feedback from citizens during Jakarta
election","limit":5}'
name: search_documents
id: call_y4w5orma
index: 0
type: function
created: 1768995991
id: chatcmpl-547
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
completion_tokens: 143
prompt_tokens: 561
total_tokens: 704
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '170'
content-type:
- application/json
host:
- localhost:11434
method: POST
parsed_body:
encoding_format: base64
input:
- Bintang innovative form of civic engagement gathering feedback from citizens during 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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
index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
prompt_tokens: 16
total_tokens: 16
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '8609'
content-type:
- application/json
host:
- localhost:11434
method: POST
parsed_body:
messages:
- content: |-
You are a knowledgeable assistant that answers questions using a document knowledge base.
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: |-
The user asks: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" We need to find info about Bintang (someone) who introduced an innovative form of civic engagement for gathering feedback from citizens during Jakarta's election. Likely from a document about social or political context in Jakarta. We need to search the knowledge base. Use search_documents function.
Let's call search with query: "Bintang innovative form of civic engagement gathering feedback from citizens during Jakarta election".
role: assistant
tool_calls:
- function:
arguments: '{"query":"Bintang innovative form of civic engagement gathering feedback from citizens during Jakarta
election","limit":5}'
name: search_documents
id: call_y4w5orma
type: function
- content: |-
[33635a00-3e8a-4d08-a76e-833cf37878e5] [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_y4w5orma
model: gpt-oss
reasoning_effort: high
stream: false
tool_choice: auto
tools:
- function:
description: |-
Search the knowledge base for relevant documents.
Returns results with chunk IDs and relevance scores.
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: http://localhost:11434/v1/chat/completions
response:
headers:
content-length:
- '1144'
content-type:
- application/json
parsed_body:
choices:
- finish_reason: tool_calls
index: 0
message:
content: ''
reasoning: |+
We have a chunk: "Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement". The question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" It appears to be exactly that: Bintang introduced an interactive app for gathering real-time feedback.
Thus answer: she introduced an interactive app.
But we need to be careful: maybe there is also another similar chunk. Let's search again with other keyword "interactive app" and "Bintang" to see.
role: assistant
tool_calls:
- function:
arguments: '{"limit":5,"query":"Bintang interactive app feedback citizens Jakarta"}'
name: search_documents
id: call_av46l6b1
index: 0
type: function
created: 1768996005
id: chatcmpl-980
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
completion_tokens: 152
prompt_tokens: 1600
total_tokens: 1752
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '119'
content-type:
- application/json
host:
- localhost:11434
method: POST
parsed_body:
encoding_format: base64
input:
- Bintang interactive app feedback citizens Jakarta
model: qwen3-embedding:4b
uri: http://localhost:11434/v1/embeddings
response:
headers:
content-type:
- application/json
transfer-encoding:
- chunked
parsed_body:
data:
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
index: 0
object: embedding
model: qwen3-embedding:4b
object: list
usage:
prompt_tokens: 9
total_tokens: 9
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '14441'
content-type:
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host:
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method: POST
parsed_body:
messages:
- content: |-
You are a knowledgeable assistant that answers questions using a document knowledge base.
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: |-
The user asks: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" We need to find info about Bintang (someone) who introduced an innovative form of civic engagement for gathering feedback from citizens during Jakarta's election. Likely from a document about social or political context in Jakarta. We need to search the knowledge base. Use search_documents function.
Let's call search with query: "Bintang innovative form of civic engagement gathering feedback from citizens during Jakarta election".
role: assistant
tool_calls:
- function:
arguments: '{"query":"Bintang innovative form of civic engagement gathering feedback from citizens during Jakarta
election","limit":5}'
name: search_documents
id: call_y4w5orma
type: function
- content: |-
[33635a00-3e8a-4d08-a76e-833cf37878e5] [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_y4w5orma
- content: |-
We have a chunk: "Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement". The question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" It appears to be exactly that: Bintang introduced an interactive app for gathering real-time feedback.
Thus answer: she introduced an interactive app.
But we need to be careful: maybe there is also another similar chunk. Let's search again with other keyword "interactive app" and "Bintang" to see.
role: assistant
tool_calls:
- function:
arguments: '{"limit":5,"query":"Bintang interactive app feedback citizens Jakarta"}'
name: search_documents
id: call_av46l6b1
type: function
- content: |-
[33635a00-3e8a-4d08-a76e-833cf37878e5] [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_av46l6b1
model: gpt-oss
reasoning_effort: high
stream: false
tool_choice: auto
tools:
- function:
description: |-
Search the knowledge base for relevant documents.
Returns results with chunk IDs and relevance scores.
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: http://localhost:11434/v1/chat/completions
response:
headers:
content-length:
- '1019'
content-type:
- application/json
parsed_body:
choices:
- finish_reason: stop
index: 0
message:
content: "Bintang introduced an **interactive mobile app** that lets citizens give real‑time feedback on daily commute
challenges during the Jakarta election. \n\n**Cited chunk:** [33635a00-3e8a-4d08-a76e-833cf37878e5]"
reasoning: |-
We've got only one chunk. It's consistent with the answer. The question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" So answer: The interactive app for real-time feedback about daily commute challenges.
Thus: "Bintang introduced an interactive app for real-time feedback from citizens about daily commute challenges." Provide chunk_id [33635a00-3e8a-4d08-a76e-833cf37878e5] as cited_chunks. Provide concise answer.
role: assistant
created: 1768996019
id: chatcmpl-178
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
completion_tokens: 174
prompt_tokens: 2648
total_tokens: 2822
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '15343'
content-type:
- application/json
host:
- localhost:11434
method: POST
parsed_body:
messages:
- content: |-
You are a knowledgeable assistant that answers questions using a document knowledge base.
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: |-
The user asks: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" We need to find info about Bintang (someone) who introduced an innovative form of civic engagement for gathering feedback from citizens during Jakarta's election. Likely from a document about social or political context in Jakarta. We need to search the knowledge base. Use search_documents function.
Let's call search with query: "Bintang innovative form of civic engagement gathering feedback from citizens during Jakarta election".
role: assistant
tool_calls:
- function:
arguments: '{"query":"Bintang innovative form of civic engagement gathering feedback from citizens during Jakarta
election","limit":5}'
name: search_documents
id: call_y4w5orma
type: function
- content: |-
[33635a00-3e8a-4d08-a76e-833cf37878e5] [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_y4w5orma
- content: |-
We have a chunk: "Bintang's interactive app for gathering real-time feedback from citizens about daily commute challenges was applauded as an innovative form of civic engagement". The question: "What innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?" It appears to be exactly that: Bintang introduced an interactive app for gathering real-time feedback.
Thus answer: she introduced an interactive app.
But we need to be careful: maybe there is also another similar chunk. Let's search again with other keyword "interactive app" and "Bintang" to see.
role: assistant
tool_calls:
- function:
arguments: '{"limit":5,"query":"Bintang interactive app feedback citizens Jakarta"}'
name: search_documents
id: call_av46l6b1
type: function
- content: |-
[33635a00-3e8a-4d08-a76e-833cf37878e5] [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_av46l6b1
- content: "\nWe've got only one chunk. It's consistent with the answer. The question: \"What innovative form
of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta's election?\" So answer:
The interactive app for real-time feedback about daily commute challenges.\n\nThus: \"Bintang introduced an interactive
app for real-time feedback from citizens about daily commute challenges.\" Provide chunk_id [33635a00-3e8a-4d08-a76e-833cf37878e5]
as cited_chunks. Provide concise answer.\n\n\nBintang introduced an **interactive mobile app** that lets
citizens give real‑time feedback on daily commute challenges during the Jakarta election. \n\n**Cited chunk:**
[33635a00-3e8a-4d08-a76e-833cf37878e5]"
role: assistant
- content: |-
Validation feedback:
Please include your response in a tool call.
Fix the errors and try again.
role: user
model: gpt-oss
reasoning_effort: high
stream: false
tool_choice: auto
tools:
- function:
description: |-
Search the knowledge base for relevant documents.
Returns results with chunk IDs and relevance scores.
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: http://localhost:11434/v1/chat/completions
response:
headers:
content-length:
- '1332'
content-type:
- application/json
parsed_body:
choices:
- finish_reason: tool_calls
index: 0
message:
content: ''
reasoning: |-
The response was not in a tool call. We need to use the final_result tool to provide the answer.
We can call final_result. Let's produce final_result with answer, cited_chunks, confidence, query.
We'll include answer: "Bintang introduced an interactive mobile app for real-time feedback from citizens about daily commute challenges."
Cited_chunks: ["33635a00-3e8a-4d08-a76e-833cf37878e5"].
Confidence: 0.95.
Also include query that was answered.
Thus we need to produce a final_result tool call.
role: assistant
tool_calls:
- function:
arguments: '{"answer":"Bintang introduced an interactive mobile app that lets citizens submit real‑time feedback
on daily commute challenges during Jakarta’s election cycle.","cited_chunks":["33635a00-3e8a-4d08-a76e-833cf37878e5"],"confidence":0.95,"query":"What
innovative form of civic engagement did Bintang introduce for gathering feedback from citizens during Jakarta''s
election?"}'
name: final_result
id: call_tesqa24k
index: 0
type: function
created: 1768996031
id: chatcmpl-73
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
completion_tokens: 225
prompt_tokens: 2847
total_tokens: 3072
status:
code: 200
message: OK
- request:
headers:
accept:
- application/json
accept-encoding:
- gzip, deflate, zstd
connection:
- keep-alive
content-length:
- '1834'
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 mobile app that lets citizens submit real‑time feedback on daily commute challenges during Jakarta’s election cycle.
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:
- '705'
content-type:
- application/json
parsed_body:
choices:
- finish_reason: tool_calls
index: 0
message:
content: ''
reasoning: 'We compare. Generated says interactive mobile app that lets citizens submit real-time feedback on daily
commute challenges during Jakarta’s election cycle. Expected: interactive app for real-time feedback on daily
commute challenges. Same core info. Equivalent.'
role: assistant
tool_calls:
- function:
arguments: '{"equivalent":true}'
name: final_result
id: call_bqvqea3x
index: 0
type: function
created: 1768996033
id: chatcmpl-493
model: gpt-oss
object: chat.completion
system_fingerprint: fp_ollama
usage:
completion_tokens: 69
prompt_tokens: 388
total_tokens: 457
status:
code: 200
message: OK
version: 1