caufieldjh
commented
1 week ago Hi @jamesfebin - OntoGPT can do this, and your template is a great start - it just needs some more details for the LLM to work with.
(The imports should also include core as this defines the main OntoGPT types)
So if the input text is something like this:
In a surprise move, the city council of Oakdale voted to approve a new development project led by prominent businesswoman, Emily-Jane Lee. The project, which will bring a new shopping center and several restaurants to the downtown area, has been met with both excitement and skepticism from local residents. Council members, including Chairperson Maria Rodriguez, Vice Chair John Michael Davis Jr., and Councilor Sofia Patel, cited the potential economic benefits and job creation as key factors in their decision. However, some residents, such as longtime Oakdale resident and activist, Ava Morales, have expressed concerns about the impact on traffic and local small businesses. Despite these concerns, project investor, Julian Styles, remains confident that the development will be a success and a boon to the community.Then a template like this should work:
id: https://w3id.org/linkml/examples/personinfo
name: personinfo
prefixes:
linkml: https://w3id.org/linkml/
imports:
- linkml:types
- core
default_range: string
classes:
Container:
tree_root: true
attributes:
persons:
description: >-
A semicolon-delimited list of people named in the text.
multivalued: true
inlined_as_list: true
range: Person
Person:
description: >-
A person.
attributes:
full_name:
description: >-
The full name of the person.
range: stringRun something like ontogpt extract -t personinfo.yaml -i input.txt and you should get a result like:
---
input_text: In a surprise move, the city council of Oakdale voted to approve a new
development project led by prominent businesswoman, Emily-Jane Lee. The project,
which will bring a new shopping center and several restaurants to the downtown area,
has been met with both excitement and skepticism from local residents. Council members,
including Chairperson Maria Rodriguez, Vice Chair John Michael Davis Jr., and Councilor
Sofia Patel, cited the potential economic benefits and job creation as key factors
in their decision. However, some residents, such as longtime Oakdale resident and
activist, Ava Morales, have expressed concerns about the impact on traffic and local
small businesses. Despite these concerns, project investor, Julian Styles, remains
confident that the development will be a success and a boon to the community.
raw_completion_output: 'persons: Emily-Jane Lee; Maria Rodriguez; John Michael Davis
Jr.; Sofia Patel; Ava Morales; Julian Styles;'
prompt: |+
Split the following piece of text into fields in the following format:
full_name: <The full name of the person.>
Text:
Julian Styles
===
extracted_object:
persons:
- full_name: Emily-Jane Lee
- full_name: Maria Rodriguez
- full_name: John Michael Davis Jr.
- full_name: Sofia Patel
- full_name: Ava Morales
- full_name: Julian Styles
jamesfebin
cmungall
I am trying to use OntoGPT in a domain outside of bioinformatics. Presently trying something simple like extracting names of people from a given text.
I have a dumb question.
The values are pre-defined in most of the templates I have seen (Ex: vbo_names). So, when I try to modify and use the template, though it's a valid LinkML file, OntoGPT doesn't add them to OWL like only the last value in a list of people's names is added. And it gives errors like
Custom Template I made.
Is there a template that's a bit generic I can use in this case?