BIDS

E943422

BIDS is the Berkeley Institute for Data Science, a multidisciplinary center at UC Berkeley focused on advancing data-intensive research and open science.

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All labels observed (1)

Label Occurrences
BIDS canonical 1

Statements (45)

Predicate Object
instanceOf data science institute
multidisciplinary research center
research institute
abbreviation BIDS NERFINISHED
activity collaborative projects
education
fellowship programs
research
seminars
training
workshops
affiliation University of California system
campus UC Berkeley NERFINISHED
city Berkeley, California NERFINISHED
collaboratesWith UC Berkeley departments
external research organizations
country United States of America
surface form: United States
emphasis open data
open source software
reproducible workflows
field computer science
data science
domain sciences
statistics
focus data science
data-intensive research
interdisciplinary collaboration
open science
reproducible research
fullName Berkeley Institute for Data Science NERFINISHED
hasAcronym BIDS NERFINISHED
hostInstitution University of California, Berkeley NERFINISHED
language English
locatedIn University of California, Berkeley
mission advance data-intensive discovery in all fields
build cross-disciplinary data science communities
promote open and reproducible science
nonProfitStatus academic research center
parentOrganization University of California, Berkeley NERFINISHED
regionServed UC Berkeley campus
global research community
sector higher education
state California, United States
surface form: California
typeOfOrganization academic institute
website https://bids.berkeley.edu/

How these facts were elicited

The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.

Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10.

# Requirements
- If you don't know the subject at all, return an empty list.
- If the subject is not a named entity, return an empty list.
- Include at least one triple where predicate is "instanceOf".
- Do not get too wordy.
- Separate several objects into multiple triples with one object.
Input
Subject: BIDS
Description of subject: BIDS is the Berkeley Institute for Data Science, a multidisciplinary center at UC Berkeley focused on advancing data-intensive research and open science.

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.