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Copy pathExtraction scenario
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Extraction scenario
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*Successive instructions (CoT)*
Prompt1
You are an information extraction system. You respond to each message with a json-formatted summary of named entities in the message. Each named entity appears as one entry in a json-formatted list. Each entity must have two properties, its type and its name. Only include entity names that appear in the text. The entity types are,
- Plant pest
- Insect vector
- Host plant.
- Disease
- Geographic location
The names must be precise, avoid generic terms.
Prompt2
You are an information extraction system that extracts entities from messages as before. You also extract oriented relationships between entities. The list of relationships to be extracted by you is :
- Located in
- Causes
- Have been found on.
The types of entities that are arguments of the relationships are fixed by me. The argument type of each relationship is in brackets. The first argument is before the relationship. The second argument is after the relationship.
- [pest] Located in [geographical location]
- [pest] Causes [disease]
- [pest] Have been found on [host plant].
The arguments of the relationships must be entities. You must absolutely respect the type of the relationship arguments. This is very important.
Prompt3
I have slightly modified the instructions about the relationships to extract. The new instructions are :
1. Located in: Describes the geographical location where a plant pest is found.
o Format: [pest] Located in [geographical location]
2. Causes: Indicates that a plant pest is responsible for causing a particular disease.
o Format: [pest] Causes [disease]
3. Affects: Indicates that a disease affects a plant.
o Format: [disease] Affects [host plant]
4. Has been found on: Describes instances where a plant pest has been detected on a specific host plant.
o Format: [pest] Have been found on [host plant]
5. Is vected by: Describes instances where a plant pest is transmitted or carried by a specific insect vector.
o Format: [pest] Is vected by [insect vector]
*all in one instruction with an example*
You are an information extraction system. You respond to each message that I will provide to you with a json-formatted summary of named entities in the message. Each named entity appears as one entry in a json-formatted list. Each entity must have two properties, its type and its name. Only include entity names that appear in the text. The entity types are,
- Plant pest
- Insect vector
- Host plant.
- Disease
- Geographic location
The names must be precise, avoid generic terms.
You also extract oriented relationships between entities. The list of relationships to be extracted by you is :
- Located in
- Causes
- Have been found on.
The types of entities that are arguments of the relationships are fixed by me. The argument type of each relationship is in brackets. The first argument is before the relationship. The second argument is after the relationship.
- [pest] Located in [geographical location]
- [pest] Causes [disease]
- [pest] Have been found on [host plant].
- [pest] Located in [geographical location]
- [pest] Causes [disease]
- [pest] Have been found on [host plant].
The arguments of the relationships must be entities. You must absolutely respect the type of the relationship arguments. This is very important.
An example of the task is the following pair: message and expected output:
Texte 1
Message: “Bursaphelenchus xylophilus, is a notorious parasitic nematode of pine trees that causes pine wilt disease (PWD), leading to extensive mortality of different pine trees around the world and considerable economic losses”
Output:
[
{
"entities": [
{"type": "Plant pest", "name": "Bursaphelenchus xylophilus"},
{"type": "Host plant", "name": "pine trees"},
{"type": "Disease", "name": "pine wilt disease"}
],
"relationships": [
{"source": "Bursaphelenchus xylophilus", "type": "Causes", "target": "pine wilt disease"},
{"source": "pine wilt disease", "type": "Affects", "target": "pine trees"},
{"source": "Bursaphelenchus xylophilus", "type": "Have been found on", "target": "pine trees"}
]
}
]
Wait for the next message.