SciFinder-n
E204176
SciFinder-n is a comprehensive research discovery platform from Chemical Abstracts Service that enables scientists to search and analyze chemical substances, reactions, literature, and related scientific data.
All labels observed (7)
| Label | Occurrences |
|---|---|
| CAS SciFinder-n | 3 |
| SciFinder | 3 |
| CAS SciFinder Discovery Platform | 1 |
| CAS SciFinder-n platform | 1 |
| SciFinder database | 1 |
| SciFinder-n canonical | 1 |
| SciFinderⁿ | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1808933 — 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: SciFinder-n Context triple: [Chemical Abstracts Service, product, SciFinder-n]
-
A.
Chemical Abstracts Service
Chemical Abstracts Service is a division of the American Chemical Society that provides a comprehensive database of chemical literature and substances, widely used for research and indexing in the chemical sciences.
-
B.
Index Chemicus
Index Chemicus is a specialized abstracting and indexing service that provides comprehensive coverage of newly reported organic compounds and synthetic methods in the chemical literature.
-
C.
CAS Common Chemistry
CAS Common Chemistry is a free online resource from the Chemical Abstracts Service that provides curated chemical information, including identifiers and basic data for commonly encountered substances.
-
D.
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.
-
E.
Cambridge Crystallographic Data Centre
The Cambridge Crystallographic Data Centre is a leading research organization that curates and distributes the world’s primary database of small-molecule organic and metal-organic crystal structures for the scientific community.
- 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: SciFinder-n Target entity description: SciFinder-n is a comprehensive research discovery platform from Chemical Abstracts Service that enables scientists to search and analyze chemical substances, reactions, literature, and related scientific data.
-
A.
Chemical Abstracts Service
Chemical Abstracts Service is a division of the American Chemical Society that provides a comprehensive database of chemical literature and substances, widely used for research and indexing in the chemical sciences.
-
B.
Index Chemicus
Index Chemicus is a specialized abstracting and indexing service that provides comprehensive coverage of newly reported organic compounds and synthetic methods in the chemical literature.
-
C.
CAS Common Chemistry
CAS Common Chemistry is a free online resource from the Chemical Abstracts Service that provides curated chemical information, including identifiers and basic data for commonly encountered substances.
-
D.
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.
-
E.
Cambridge Crystallographic Data Centre
The Cambridge Crystallographic Data Centre is a leading research organization that curates and distributes the world’s primary database of small-molecule organic and metal-organic crystal structures for the scientific community.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
chemical information database
ⓘ
research discovery platform ⓘ scientific literature search tool ⓘ |
| accessMode |
subscription-based
ⓘ
web-based interface ⓘ |
| developer | Chemical Abstracts Service ⓘ |
| field |
chemical engineering
ⓘ
chemistry ⓘ life sciences ⓘ materials science ⓘ pharmaceutical sciences ⓘ |
| hasFeature |
access to CAS REACT
ⓘ
access to CAS REGISTRY ⓘ access to journal literature ⓘ access to patent data ⓘ biosequence searching ⓘ citation analysis ⓘ filtering and refinement tools ⓘ patent landscape analysis ⓘ predictive retrosynthesis algorithms ⓘ property data retrieval ⓘ reaction condition analysis ⓘ reaction search ⓘ reference searching ⓘ retrosynthesis planning ⓘ structure search ⓘ substructure search ⓘ supplier information for chemicals ⓘ visualization of results ⓘ |
| language | English ⓘ |
| mainSubject |
chemical reactions
ⓘ
chemical substances ⓘ patents ⓘ scientific data ⓘ scientific literature ⓘ |
| operatingSystem | platform-independent (web browser) ⓘ |
| parentOrganization | American Chemical Society ⓘ |
| predecessor |
SciFinder-n
self-linksurface differs
ⓘ
surface form:
SciFinder
|
| publisher | Chemical Abstracts Service ⓘ |
| targetAudience |
academic researchers
ⓘ
industrial scientists ⓘ information professionals ⓘ |
| useCase |
chemical structure searching
ⓘ
competitive intelligence in chemistry ⓘ drug discovery research ⓘ literature review ⓘ patent searching ⓘ reaction route planning ⓘ |
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: SciFinder-n Description of subject: SciFinder-n is a comprehensive research discovery platform from Chemical Abstracts Service that enables scientists to search and analyze chemical substances, reactions, literature, and related scientific data.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
CAS SciFinder Discovery Platform
this entity surface form:
SciFinder
this entity surface form:
SciFinder
this entity surface form:
SciFinderⁿ
subject surface form:
CAS Registry Number
this entity surface form:
SciFinder database
subject surface form:
CAS Registry Number
this entity surface form:
CAS SciFinder-n platform
this entity surface form:
CAS SciFinder-n
this entity surface form:
CAS SciFinder-n
this entity surface form:
SciFinder
this entity surface form:
CAS SciFinder-n