SEAPATH
E904622
SEAPATH is an LF Energy open source project focused on providing a secure, real-time, virtualized platform for power grid and substation automation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SEAPATH canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11100262 — 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: SEAPATH Context triple: [LF Energy, hasProject, SEAPATH]
-
A.
SAPHEI
SAPHEI is a type of 25mm aircraft cannon ammunition designed to combine armor-piercing, high-explosive, and incendiary effects in a single round.
-
B.
SEAS
SEAS is the stock ticker symbol for SeaWorld Entertainment, Inc., a U.S.-based company that operates marine-life theme parks and entertainment attractions.
-
C.
SEAS
SEAS is the School of Engineering and Applied Science at the George Washington University, offering programs in engineering, computer science, and related technical fields.
-
D.
SEAS
SEAS is the University of Pennsylvania’s engineering and applied science school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, and mechanical engineering.
-
E.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
- 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: SEAPATH Target entity description: SEAPATH is an LF Energy open source project focused on providing a secure, real-time, virtualized platform for power grid and substation automation.
-
A.
SAPHEI
SAPHEI is a type of 25mm aircraft cannon ammunition designed to combine armor-piercing, high-explosive, and incendiary effects in a single round.
-
B.
SEAS
SEAS is the stock ticker symbol for SeaWorld Entertainment, Inc., a U.S.-based company that operates marine-life theme parks and entertainment attractions.
-
C.
SEAS
SEAS is the School of Engineering and Applied Science at the George Washington University, offering programs in engineering, computer science, and related technical fields.
-
D.
SEAS
SEAS is the University of Pennsylvania’s engineering and applied science school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, and mechanical engineering.
-
E.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
LF Energy project
ⓘ
open source software project ⓘ |
| category |
energy software platform
ⓘ
industrial automation platform ⓘ |
| designedFor |
critical infrastructure
ⓘ
substation environments ⓘ |
| domain |
electric power systems
ⓘ
energy sector ⓘ |
| emphasizes |
cybersecurity
ⓘ
deterministic real-time behavior ⓘ high availability ⓘ |
| focusesOn |
power grid automation
ⓘ
substation automation ⓘ |
| goal |
enable reliable real-time operation
ⓘ
increase security of power system control infrastructure ⓘ support deployment of virtualized automation applications ⓘ |
| licenseType | open source license ⓘ |
| maintainedBy | LF Energy Foundation NERFINISHED ⓘ |
| partOfEcosystem | LF Energy ecosystem ⓘ |
| provides |
real-time platform
ⓘ
secure platform ⓘ virtualized platform ⓘ |
| relatedTo | substation digitalization ⓘ |
| softwareModel | open source ⓘ |
| supports |
grid digitalization
ⓘ
virtualization of control functions ⓘ virtualization of protection and control applications ⓘ |
| targetUsers |
grid operators
ⓘ
substation automation vendors ⓘ 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: SEAPATH Description of subject: SEAPATH is an LF Energy open source project focused on providing a secure, real-time, virtualized platform for power grid and substation automation.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.