mirror of
https://github.com/eliasstepanik/core.git
synced 2026-01-11 18:48:27 +00:00
fix: update extract statement query
This commit is contained in:
parent
96d829642b
commit
dcf10aeb71
@ -12,66 +12,79 @@ export const extract_statements = (
|
||||
return [
|
||||
{
|
||||
role: "system",
|
||||
content: `You are a knowledge graph expert that extracts factual statements from text as subject-predicate-object triples.
|
||||
Your task is to identify important facts and represent them in a reified knowledge graph model
|
||||
where each statement is a first-class node connected to subject, predicate, and object entities.
|
||||
content: `You are a knowledge graph expert who extracts factual statements from text as subject-predicate-object triples.
|
||||
|
||||
I need to extract factual statements from the following conversation/text and represent them in a reified knowledge graph.
|
||||
CRITICAL REQUIREMENT:
|
||||
- You MUST ONLY use entities from the AVAILABLE ENTITIES list as subjects and objects.
|
||||
- The "source" and "target" fields in your output MUST EXACTLY MATCH entity names from the AVAILABLE ENTITIES list.
|
||||
- If you cannot express a fact using only the available entities, DO NOT include that fact in your output.
|
||||
- DO NOT create, invent, or modify any entity names.
|
||||
- NEVER create statements where the source and target are the same entity (no self-loops).
|
||||
|
||||
Follow these instructions carefully:
|
||||
Your task is to identify important facts from the provided text and represent them in a knowledge graph format.
|
||||
|
||||
1. Identify key factual statements from the episode content and previous episodes
|
||||
2. Represent each statement as a subject-predicate-object triple
|
||||
3. Only use entities from the AVAILABLE ENTITIES list as subjects and objects
|
||||
4. For each statement, provide:
|
||||
- The subject entity name (must match exactly one from AVAILABLE ENTITIES)
|
||||
- The predicate/relationship (a clear, concise verb or relationship type)
|
||||
- The object entity name (must match exactly one from AVAILABLE ENTITIES)
|
||||
- A natural language fact that accurately represents the triple
|
||||
- Any additional attributes relevant to the relationship
|
||||
Follow these instructions:
|
||||
|
||||
IMPORTANT ABOUT TEMPORAL INFORMATION:
|
||||
- The system tracks when facts become known (validAt) and contradicted (invalidAt) separately
|
||||
- You must include any temporal information WITHIN the fact statement itself
|
||||
- For example, if someone worked at a company from 2015-2020, include this in the "fact" field and "attributes.timespan" field
|
||||
- Do NOT omit temporal information from facts - it's critical context
|
||||
- Examples of good temporal facts:
|
||||
* "John worked at Google from 2015 to 2020"
|
||||
* "Sarah lived in New York until 2018"
|
||||
* "The project was completed on March 15, 2023"
|
||||
1. First, carefully review the AVAILABLE ENTITIES list. These are the ONLY entities you can use as subjects and objects.
|
||||
2. Identify factual statements that can be expressed using ONLY these available entities.
|
||||
3. For each valid statement, provide:
|
||||
- source: The subject entity (MUST be from AVAILABLE ENTITIES)
|
||||
- predicate: The relationship type (can be a descriptive phrase)
|
||||
- target: The object entity (MUST be from AVAILABLE ENTITIES)
|
||||
|
||||
EXTRACT ALL MEANINGFUL RELATIONSHIPS:
|
||||
- Extract any meaningful relationship between available entities that's expressed in the text.
|
||||
- Use predicates that accurately describe the relationship between entities.
|
||||
- Be creative but precise in identifying relationships - don't miss important facts.
|
||||
- Common examples include (but are not limited to):
|
||||
* Ownership or association (e.g., "Taylor Swift" "performs at" "Taylor Swift's concert")
|
||||
* Participation or attendance (e.g., "John" "attends" "Conference")
|
||||
* Personal connections (e.g., "John" "is friend of" "Max")
|
||||
* Aliases (e.g., "John" "is also known as" "John Smith")
|
||||
* Locations (e.g., "Company" "headquartered in" "City")
|
||||
* Characteristics (e.g., "Product" "has feature" "Feature")
|
||||
|
||||
ABOUT TEMPORAL INFORMATION:
|
||||
- For events with dates/times, DO NOT create a separate statement with the event as both source and target.
|
||||
- Instead, ADD the temporal information directly to the most relevant statement as attributes.
|
||||
- Example: For "Max married to Tina on January 14", add the timespan to the "married to" relationship.
|
||||
- If there are multiple statements about an event, choose the most ownership-related one to add the timespan to.
|
||||
|
||||
Format your response as a JSON object with the following structure:
|
||||
<output>
|
||||
{
|
||||
"edges": [
|
||||
{
|
||||
"source": "[Subject Entity Name]",
|
||||
"relationship": "[Predicate/Relationship Type]",
|
||||
"target": "[Object Entity Name]",
|
||||
"fact": "[Natural language representation of the fact INCLUDING any temporal information]",
|
||||
"source": "[Subject Entity Name - MUST be from AVAILABLE ENTITIES]",
|
||||
"predicate": "[Relationship Type]",
|
||||
"target": "[Object Entity Name - MUST be from AVAILABLE ENTITIES]",
|
||||
"fact": "[Natural language representation of the fact]",
|
||||
"attributes": {
|
||||
"confidence": 0.9, // How confident you are in this fact (0-1)
|
||||
"source": "explicit", // Whether the fact was explicitly stated or inferred
|
||||
"timespan": { // Include if the fact has a specific time period
|
||||
"start": "2015", // When the fact started being true (if known)
|
||||
"end": "2020" // When the fact stopped being true (if known)
|
||||
}
|
||||
"confidence": confidence of the fact
|
||||
"source": "explicit or implicit source type",
|
||||
}
|
||||
},
|
||||
// Additional statements...
|
||||
}
|
||||
]
|
||||
}
|
||||
</output>
|
||||
|
||||
Important guidelines:
|
||||
- Only include the most significant and factual statements
|
||||
- Do not invent entities not present in the AVAILABLE ENTITIES list
|
||||
- Be precise in representing the relationships
|
||||
- Each fact should be atomic (representing a single piece of information)
|
||||
- ALWAYS include temporal information when available (dates, periods, etc.) in both the fact text AND attributes
|
||||
- Facts should be based on the episode content, not general knowledge
|
||||
- Aim for quality over quantity, prioritize clear, unambiguous statements
|
||||
- For ongoing facts (still true), omit the "end" field in timespan`,
|
||||
IMPORTANT RULES:
|
||||
- ONLY use entities from AVAILABLE ENTITIES as source and target.
|
||||
- NEVER create statements where source or target is not in AVAILABLE ENTITIES.
|
||||
- NEVER create statements where the source and target are the same entity (NO SELF-LOOPS).
|
||||
- Instead of creating self-loops for temporal information, add timespan attributes to relevant statements.
|
||||
- If you cannot express a fact using only available entities, omit it entirely.
|
||||
- Always wrap output in tags <output> </output>.
|
||||
|
||||
Example of CORRECT usage:
|
||||
If AVAILABLE ENTITIES contains ["John", "Max", "Wedding"], you can create:
|
||||
- "John" "attends" "Wedding" ✓
|
||||
- "Max" "married to" "Tina" with timespan attribute ✓
|
||||
|
||||
Example of INCORRECT usage:
|
||||
- "John" "attends" "Party" ✗ (if "Party" is not in AVAILABLE ENTITIES)
|
||||
- "Marriage" "occurs on" "Marriage" ✗ (NEVER create self-loops)
|
||||
- "January 14" "is" "Marriage date" ✗ (if "January 14" or "Marriage date" is not in AVAILABLE ENTITIES)`,
|
||||
},
|
||||
{
|
||||
role: "user",
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user