再揭秘微软Graph RAG-提示微调Prompt Tuning

GRAPH_EXTRACTION_PROMPT = """-Goal-Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.
-Steps-1. Identify all entities. For each identified entity, extract the following information:- entity_name: Name of the entity, capitalized- entity_type: One of the following types: [{entity_types}]- entity_description: Comprehensive description of the entity's attributes and activitiesFormat each entity as ("entity"{tuple_delimiter}<entity_name>{tuple_delimiter}<entity_type>{tuple_delimiter}<entity_description>
2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.For each pair of related entities, extract the following information:- source_entity: name of the source entity, as identified in step 1- target_entity: name of the target entity, as identified in step 1- relationship_description: explanation as to why you think the source entity and the target entity are related to each other- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity Format each relationship as ("relationship"{tuple_delimiter}<source_entity>{tuple_delimiter}<target_entity>{tuple_delimiter}<relationship_description>{tuple_delimiter}<relationship_strength>)
3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter.
4. When finished, output {completion_delimiter}
######################-Examples-######################Example 1:
Entity_types: [person, technology, mission, organization, location]Text:while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”
The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.
It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths################Output:("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter}("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter}("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter}("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter}("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter}("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}7){record_delimiter}("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}6){record_delimiter}("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}8){record_delimiter}("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}5){record_delimiter}("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}9){completion_delimiter}#############################-Real Data-######################Entity_types: {entity_types}Text: {input_text}######################Output:"""
CONTINUE_PROMPT = "MANY entities were missed in the last extraction.Add them below using the same format:\n"LOOP_PROMPT = "It appears some entities may have still been missed.Answer YES | NO if there are still entities that need to be added.\n"

SUMMARIZE_PROMPT = """You are a helpful assistant responsible for generating a comprehensive summary of the data provided below.Given one or two entities, and a list of descriptions, all related to the same entity or group of entities.Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions.If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.Make sure it is written in third person, and include the entity names so we the have full context.
#######-Data-Entities: {entity_name}Description List: {description_list}#######Output:"""

CLAIM_EXTRACTION_PROMPT = """-Target activity-You are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.
-Goal-Given a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.
-Steps-1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.For each claim, extract the following information:- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.
Format each claim as (<subject_entity>{tuple_delimiter}<object_entity>{tuple_delimiter}<claim_type>{tuple_delimiter}<claim_status>{tuple_delimiter}<claim_start_date>{tuple_delimiter}<claim_end_date>{tuple_delimiter}<claim_description>{tuple_delimiter}<claim_source>)
3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter.
4. When finished, output {completion_delimiter}
-Examples-Example 1:Entity specification: organizationClaim description: red flags associated with an entityText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.Output:
(COMPANY A{tuple_delimiter}GOVERNMENT AGENCY B{tuple_delimiter}ANTI-COMPETITIVE PRACTICES{tuple_delimiter}TRUE{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10{tuple_delimiter}According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.){completion_delimiter}
Example 2:Entity specification: Company A, Person CClaim description: red flags associated with an entityText: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.Output:
(COMPANY A{tuple_delimiter}GOVERNMENT AGENCY B{tuple_delimiter}ANTI-COMPETITIVE PRACTICES{tuple_delimiter}TRUE{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10{tuple_delimiter}According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.){record_delimiter}(PERSON C{tuple_delimiter}NONE{tuple_delimiter}CORRUPTION{tuple_delimiter}SUSPECTED{tuple_delimiter}2015-01-01T00:00:00{tuple_delimiter}2015-12-30T00:00:00{tuple_delimiter}Person C was suspected of engaging in corruption activities in 2015{tuple_delimiter}The company is owned by Person C who was suspected of engaging in corruption activities in 2015){completion_delimiter}
-Real Data-Use the following input for your answer.Entity specification: {entity_specs}Claim description: {claim_description}Text: {input_text}Output:"""

CONTINUE_PROMPT = "MANY entities were missed in the last extraction.Add them below using the same format:\n"LOOP_PROMPT = "It appears some entities may have still been missed.Answer YES {tuple_delimiter} NO if there are still entities that need to be added.\n"

COMMUNITY_REPORT_PROMPT = """You are an AI assistant that helps a human analyst to perform general information discovery. Information discovery is the process of identifying and assessing relevant information associated with certain entities (e.g., organizations and individuals) within a network.
# GoalWrite a comprehensive report of a community, given a list of entities that belong to the community as well as their relationships and optional associated claims. The report will be used to inform decision-makers about information associated with the community and their potential impact. The content of this report includes an overview of the community's key entities, their legal compliance, technical capabilities, reputation, and noteworthy claims.
# Report Structure
The report should include the following sections:
- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title.- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant information associated with its entities.- IMPACT SEVERITY RATING: a float score between 0-10 that represents the severity of IMPACT posed by entities within the community.IMPACT is the scored importance of a community.- RATING EXPLANATION: Give a single sentence explanation of the IMPACT severity rating.- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive.
Return output as a well-formed JSON-formatted string with the following format:{{"title": <report_title>,"summary": <executive_summary>,"rating": <impact_severity_rating>,"rating_explanation": <rating_explanation>,"findings": [{{"summary":<insight_1_summary>,"explanation": <insight_1_explanation>}},{{"summary":<insight_2_summary>,"explanation": <insight_2_explanation>}}]}}
# Grounding Rules
Points supported by data should list their data references as follows:
"This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
For example:"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23); Claims (7, 2, 34, 64, 46, +more)]."
where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record.
Do not include information where the supporting evidence for it is not provided.

# Example Input-----------Text:
Entities
id,entity,description5,VERDANT OASIS PLAZA,Verdant Oasis Plaza is the location of the Unity March6,HARMONY ASSEMBLY,Harmony Assembly is an organization that is holding a march at Verdant Oasis Plaza
Relationships
id,source,target,description37,VERDANT OASIS PLAZA,UNITY MARCH,Verdant Oasis Plaza is the location of the Unity March38,VERDANT OASIS PLAZA,HARMONY ASSEMBLY,Harmony Assembly is holding a march at Verdant Oasis Plaza39,VERDANT OASIS PLAZA,UNITY MARCH,The Unity March is taking place at Verdant Oasis Plaza40,VERDANT OASIS PLAZA,TRIBUNE SPOTLIGHT,Tribune Spotlight is reporting on the Unity march taking place at Verdant Oasis Plaza41,VERDANT OASIS PLAZA,BAILEY ASADI,Bailey Asadi is speaking at Verdant Oasis Plaza about the march43,HARMONY ASSEMBLY,UNITY MARCH,Harmony Assembly is organizing the Unity March
Output:{{"title": "Verdant Oasis Plaza and Unity March","summary": "The community revolves around the Verdant Oasis Plaza, which is the location of the Unity March. The plaza has relationships with the Harmony Assembly, Unity March, and Tribune Spotlight, all of which are associated with the march event.","rating": 5.0,"rating_explanation": "The impact severity rating is moderate due to the potential for unrest or conflict during the Unity March.","findings": [{{"summary": "Verdant Oasis Plaza as the central location","explanation": "Verdant Oasis Plaza is the central entity in this community, serving as the location for the Unity March. This plaza is the common link between all other entities, suggesting its significance in the community. The plaza's association with the march could potentially lead to issues such as public disorder or conflict, depending on the nature of the march and the reactions it provokes. [Data: Entities (5), Relationships (37, 38, 39, 40, 41,+more)]"}},{{"summary": "Harmony Assembly's role in the community","explanation": "Harmony Assembly is another key entity in this community, being the organizer of the march at Verdant Oasis Plaza. The nature of Harmony Assembly and its march could be a potential source of threat, depending on their objectives and the reactions they provoke. The relationship between Harmony Assembly and the plaza is crucial in understanding the dynamics of this community. [Data: Entities(6), Relationships (38, 43)]"}},{{"summary": "Unity March as a significant event","explanation": "The Unity March is a significant event taking place at Verdant Oasis Plaza. This event is a key factor in the community's dynamics and could be a potential source of threat, depending on the nature of the march and the reactions it provokes. The relationship between the march and the plaza is crucial in understanding the dynamics of this community. [Data: Relationships (39)]"}},{{"summary": "Role of Tribune Spotlight","explanation": "Tribune Spotlight is reporting on the Unity March taking place in Verdant Oasis Plaza. This suggests that the event has attracted media attention, which could amplify its impact on the community. The role of Tribune Spotlight could be significant in shaping public perception of the event and the entities involved. [Data: Relationships (40)]"}}]}}

# Real Data
Use the following text for your answer. Do not make anything up in your answer.
Text:{input_text}

python -m graphrag.prompt_tune [--root ROOT] [--domain DOMAIN][--method METHOD] [--limit LIMIT] [--max-tokens MAX_TOKENS] [--chunk-size CHUNK_SIZE] [--no-entity-types] [--output OUTPUT]