CASP13
E200552
Critical Assessment of protein Structure Prediction experiment
community-wide experiment
scientific competition
CASP13 is the 13th Critical Assessment of protein Structure Prediction experiment, an international community-wide competition that benchmarks computational methods for predicting 3D protein structures.
All labels observed (3)
How this entity was disambiguated
This entity first appeared as the object of triple T1793126 — 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: CASP13 Context triple: [AlphaFold, announcedAt, CASP13]
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A.
C-3a
C-3a is a commuter rail line within the Cercanías Madrid network serving suburban areas around Spain’s capital.
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B.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
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C.
CASS
CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
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D.
Cassibile
Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
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E.
CASA
CASA (Construcciones Aeronáuticas S.A.) was a Spanish aircraft manufacturer that became a key predecessor to Airbus through mergers in the European aerospace industry.
- 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: CASP13 Target entity description: CASP13 is the 13th Critical Assessment of protein Structure Prediction experiment, an international community-wide competition that benchmarks computational methods for predicting 3D protein structures.
-
A.
C-3a
C-3a is a commuter rail line within the Cercanías Madrid network serving suburban areas around Spain’s capital.
-
B.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
-
C.
CASS
CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
-
D.
Cassibile
Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
-
E.
CASA
CASA (Construcciones Aeronáuticas S.A.) was a Spanish aircraft manufacturer that became a key predecessor to Airbus through mergers in the European aerospace industry.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf |
Critical Assessment of protein Structure Prediction experiment
ⓘ
community-wide experiment ⓘ scientific competition ⓘ |
| aimsTo |
assess state of the art in protein structure prediction
ⓘ
provide objective performance benchmarks ⓘ stimulate development of new prediction methods ⓘ |
| assessmentBasedOn | comparison with experimental structures ⓘ |
| evaluates |
computational methods for protein structure prediction
ⓘ
contact prediction methods ⓘ model quality assessment methods ⓘ template-based modeling methods ⓘ template-free (ab initio) modeling methods ⓘ |
| field |
computational biology
ⓘ
protein structure prediction ⓘ structural bioinformatics ⓘ |
| focusesOn |
3D protein structure prediction
ⓘ
benchmarking prediction methods ⓘ |
| follows |
CASP13
self-linksurface differs
ⓘ
surface form:
CASP12
|
| fullName |
CASP (Critical Assessment of protein Structure Prediction)
ⓘ
surface form:
13th Critical Assessment of protein Structure Prediction
|
| hasAbbreviation | CASP13 self-link ⓘ |
| hasOrdinalNumber | 13 ⓘ |
| hasOutcome |
performance metrics for participating groups
ⓘ
rankings of prediction methods ⓘ |
| hasParticipants |
academic research groups
ⓘ
computational method developers ⓘ industry research groups ⓘ |
| hasScope | international ⓘ |
| language | English ⓘ |
| organizedAs | blind prediction experiment ⓘ |
| partOfSeries |
CASP13
self-linksurface differs
ⓘ
surface form:
CASP
|
| precedes | CASP14 ⓘ |
| resultsDiscussedAt | CASP conference ⓘ |
| resultsPublishedIn | scientific literature ⓘ |
| targetsProvidedBy | experimental structural biology laboratories ⓘ |
| usesTargets | experimentally determined protein structures ⓘ |
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: CASP13 Description of subject: CASP13 is the 13th Critical Assessment of protein Structure Prediction experiment, an international community-wide competition that benchmarks computational methods for predicting 3D protein structures.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
CASP