CoMPAS
E904626
CoMPAS is an LF Energy open-source project focused on providing tools and frameworks for standardized, interoperable substation automation and protection systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CoMPAS canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11100266 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CoMPAS Context triple: [LF Energy, hasProject, CoMPAS]
-
A.
Desktop Underwriter automated underwriting system
Desktop Underwriter is Fannie Mae’s automated mortgage underwriting system used by lenders to assess borrower credit risk and eligibility for conforming loans.
-
B.
CompStat
CompStat is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and strategy.
-
C.
Creditor Reporting System statistics
Creditor Reporting System statistics are a comprehensive OECD database that tracks and reports detailed information on official development assistance and other resource flows to developing countries.
-
D.
Commercial Risk Solutions
Commercial Risk Solutions is a business segment of Aon Corporation that provides risk management, insurance brokerage, and related advisory services to commercial clients.
-
E.
Martinson
Martinson is a patronymic surname of English and Scandinavian origin meaning "son of Martin."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CoMPAS Target entity description: CoMPAS is an LF Energy open-source project focused on providing tools and frameworks for standardized, interoperable substation automation and protection systems.
-
A.
Desktop Underwriter automated underwriting system
Desktop Underwriter is Fannie Mae’s automated mortgage underwriting system used by lenders to assess borrower credit risk and eligibility for conforming loans.
-
B.
CompStat
CompStat is a data-driven police management and accountability system that uses crime statistics and mapping to guide deployment and strategy.
-
C.
Creditor Reporting System statistics
Creditor Reporting System statistics are a comprehensive OECD database that tracks and reports detailed information on official development assistance and other resource flows to developing countries.
-
D.
Commercial Risk Solutions
Commercial Risk Solutions is a business segment of Aon Corporation that provides risk management, insurance brokerage, and related advisory services to commercial clients.
-
E.
Martinson
Martinson is a patronymic surname of English and Scandinavian origin meaning "son of Martin."
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
LF Energy project
ⓘ
open-source software project ⓘ |
| aimsFor |
interoperable substation automation
ⓘ
standardized substation automation ⓘ |
| category |
energy sector open-source project
ⓘ
power grid digitalization project ⓘ |
| domain |
electricity transmission and distribution
ⓘ
power systems ⓘ |
| focusesOn |
interoperability
ⓘ
protection systems ⓘ substation automation ⓘ |
| goal |
improve interoperability of substation protection and control systems
ⓘ
reduce integration complexity in substations ⓘ support digitalization of power grids ⓘ |
| hostedBy | LF Energy Foundation NERFINISHED ⓘ |
| license | open-source license ⓘ |
| partOfEcosystem | LF Energy ecosystem NERFINISHED ⓘ |
| provides |
frameworks
ⓘ
tools ⓘ |
| relatedTo |
grid modernization
ⓘ
smart grid ⓘ substation configuration ⓘ |
| supports |
model-driven configuration of substation IEDs
ⓘ
standardized engineering workflows for substations ⓘ |
| supportsStandard | IEC 61850 NERFINISHED ⓘ |
| targetUsers |
grid operators
ⓘ
substation engineers ⓘ utilities ⓘ |
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: CoMPAS Description of subject: CoMPAS is an LF Energy open-source project focused on providing tools and frameworks for standardized, interoperable substation automation and protection systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.