CASP14
E736788
CASP14 is the fourteenth edition of the Critical Assessment of protein Structure Prediction experiment, a community-wide benchmark for evaluating computational methods in protein structure modeling.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CASP14 canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482517 — 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: CASP14 Context triple: [CASP13, precedes, CASP14]
-
A.
CASP13
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.
-
B.
CASC
CASC is China’s main state-owned aerospace and defense contractor, responsible for the country’s space program, including launch vehicles, satellites, and related technologies.
-
C.
CAND
CAND is the official abbreviation for the Vietnam People's Public Security, the national police and security force of Vietnam responsible for maintaining public order and internal security.
-
D.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
-
E.
CASS
CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
- 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: CASP14 Target entity description: CASP14 is the fourteenth edition of the Critical Assessment of protein Structure Prediction experiment, a community-wide benchmark for evaluating computational methods in protein structure modeling.
-
A.
CASP13
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.
-
B.
CASC
CASC is China’s main state-owned aerospace and defense contractor, responsible for the country’s space program, including launch vehicles, satellites, and related technologies.
-
C.
CAND
CAND is the official abbreviation for the Vietnam People's Public Security, the national police and security force of Vietnam responsible for maintaining public order and internal security.
-
D.
CESAER
CESAER is a European association of leading universities of science and technology that collaborates to advance engineering education, research, and innovation.
-
E.
CASS
CASS is the Cargo Accounts Settlement System, a global IATA-managed platform that streamlines and standardizes financial transactions between airlines and freight forwarders.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
community-wide experiment
ⓘ
protein structure prediction experiment ⓘ scientific benchmark ⓘ |
| acronym | CASP14 NERFINISHED ⓘ |
| compares | different computational protein structure prediction approaches ⓘ |
| editionNumber | 14 ⓘ |
| evaluationCriteria |
GDT_TS score
ⓘ
RMSD ⓘ contact precision ⓘ local distance difference test ⓘ |
| field |
computational biology
ⓘ
protein structure prediction ⓘ structural bioinformatics ⓘ |
| focusesOn |
protein contact prediction
ⓘ
protein model quality assessment ⓘ protein structure refinement ⓘ protein tertiary structure prediction ⓘ template-based modeling ⓘ template-free modeling ⓘ |
| fullName | 14th Critical Assessment of protein Structure Prediction NERFINISHED ⓘ |
| hasCommunity | international protein structure prediction community ⓘ |
| hasEvaluationType | blind prediction assessment ⓘ |
| hasImpactOn |
development of new protein modeling algorithms
ⓘ
validation of deep learning methods for protein structures ⓘ |
| hasOutcome |
identification of state-of-the-art methods
ⓘ
performance metrics for prediction accuracy ⓘ ranking of prediction methods ⓘ |
| hasParticipants |
academic research groups
ⓘ
industry research groups ⓘ protein structure prediction servers ⓘ |
| hasPurpose |
assessment of 3D protein structure prediction accuracy
ⓘ
benchmarking computational protein modeling ⓘ evaluation of protein structure prediction methods ⓘ |
| hasSuccessor | CASP15 ⓘ |
| hasWebsite | http://predictioncenter.org ⓘ |
| isSubEventOf | CASP series of experiments NERFINISHED ⓘ |
| isSuccessorOf | CASP13 NERFINISHED ⓘ |
| language | English ⓘ |
| organizedBy | CASP organization ⓘ |
| partOfSeries | CASP NERFINISHED ⓘ |
| relatedTo |
drug discovery
ⓘ
protein folding problem ⓘ structural genomics ⓘ |
| usesTargetsFrom |
NMR spectroscopy experiments
ⓘ
X-ray crystallography experiments ⓘ cryo-electron microscopy experiments ⓘ |
| usesTargetsProvidedBy | experimental structural biology community ⓘ |
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: CASP14 Description of subject: CASP14 is the fourteenth edition of the Critical Assessment of protein Structure Prediction experiment, a community-wide benchmark for evaluating computational methods in protein structure modeling.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.