Semantic Scholar
E366084
Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Semantic Scholar canonical | 3 |
| Semantic Scholar Corpus | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3520096 — 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: Semantic Scholar Context triple: [Allen Institute for Artificial Intelligence, knownFor, Semantic Scholar]
-
A.
CiteSeerX
CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
-
B.
DBLP
DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
-
C.
Google Scholar
Google Scholar is a freely accessible academic search engine that indexes scholarly literature across many disciplines and formats, helping researchers find articles, theses, books, conference papers, and more.
-
D.
Publons
Publons is an online platform that helps researchers track, verify, and showcase their peer review and editorial contributions for academic journals.
-
E.
InCites
InCites is a research analytics platform that provides citation-based metrics and benchmarking tools to evaluate institutional and researcher performance.
- 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: Semantic Scholar Target entity description: Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
-
A.
CiteSeerX
CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
-
B.
DBLP
DBLP is a comprehensive computer science bibliography database that indexes research papers, conference proceedings, and journals in the field of computing.
-
C.
Google Scholar
Google Scholar is a freely accessible academic search engine that indexes scholarly literature across many disciplines and formats, helping researchers find articles, theses, books, conference papers, and more.
-
D.
Publons
Publons is an online platform that helps researchers track, verify, and showcase their peer review and editorial contributions for academic journals.
-
E.
InCites
InCites is a research analytics platform that provides citation-based metrics and benchmarking tools to evaluate institutional and researcher performance.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
AI-powered search engine
ⓘ
academic search engine ⓘ scientific literature database ⓘ |
| aimsTo |
help researchers discover scientific literature more efficiently
ⓘ
improve understanding of scientific papers ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| dataSource |
academic publishers
ⓘ
open access repositories ⓘ preprint servers ⓘ |
| developer |
Allen Institute for AI
ⓘ
linked to:
Allen Institute for Artificial Intelligence
|
| fieldOfUse |
academic research
ⓘ
information retrieval ⓘ scientometrics ⓘ |
| hasFeature |
API access
ⓘ
PDF viewing ⓘ alerts for new papers ⓘ author disambiguation ⓘ author profiles ⓘ citation analysis ⓘ citation graphs ⓘ filters for fields of study ⓘ influential citation identification ⓘ institutional affiliations for authors ⓘ open access filters ⓘ paper metadata extraction ⓘ paper recommendations ⓘ reference lists ⓘ related papers suggestions ⓘ research feeds ⓘ semantic search ⓘ topic pages ⓘ |
| hasIdentifier |
Semantic Scholar Corpus
ⓘ
linked to:
Semantic Scholar
|
| inception | 2015 ⓘ |
| indexingCoverage |
biomedicine
ⓘ
computer science ⓘ mathematics ⓘ multiple scientific disciplines ⓘ neuroscience ⓘ physics ⓘ social sciences ⓘ |
| language | English ⓘ |
| launchDate | 2015-11 ⓘ |
| mainSubject |
academic research papers
ⓘ
scientific literature ⓘ |
| operatedBy |
Allen Institute for AI
ⓘ
linked to:
Allen Institute for Artificial Intelligence
|
| uses |
artificial intelligence
ⓘ
machine learning ⓘ natural language processing ⓘ |
| website | https://www.semanticscholar.org ⓘ |
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: Semantic Scholar Description of subject: Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature more efficiently.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Semantic Scholar