VLDB Best Paper Award
E362204
The VLDB Best Paper Award is a prestigious honor presented at the Very Large Data Bases (VLDB) conference to recognize the most outstanding research paper in the field of database systems and data management.
All labels observed (2)
| Label | Occurrences |
|---|---|
| VLDB 10-Year Best Paper Award | 1 |
| VLDB Best Paper Award canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3478942 — 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.
Target entity: VLDB Best Paper Award Context triple: [ACM SIGMOD Best Paper Award, relatedAward, VLDB Best Paper Award]
-
A.
VLDB Test of Time Award
The VLDB Test of Time Award is a prestigious database research honor recognizing papers from the Very Large Data Bases (VLDB) conference that have had significant and lasting impact on the field over many years.
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B.
ACM SIGMOD Best Paper Award
The ACM SIGMOD Best Paper Award is a prestigious annual honor recognizing the most outstanding research paper presented at the ACM SIGMOD Conference on data management.
-
C.
ACM SIGMOD Test of Time Award
The ACM SIGMOD Test of Time Award is a prestigious database research honor recognizing SIGMOD conference papers whose ideas have had a lasting and significant impact on the field.
-
D.
ACM SIGMOD Contributions Award
The ACM SIGMOD Contributions Award is a prestigious annual honor recognizing individuals who have made outstanding and sustained service contributions to the database systems community.
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E.
ACM SIGMOD Jim Gray Dissertation Award
The ACM SIGMOD Jim Gray Dissertation Award is a prestigious annual honor recognizing the best doctoral thesis in the field of data management and database systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: VLDB Best Paper Award Target entity description: The VLDB Best Paper Award is a prestigious honor presented at the Very Large Data Bases (VLDB) conference to recognize the most outstanding research paper in the field of database systems and data management.
-
A.
VLDB Test of Time Award
The VLDB Test of Time Award is a prestigious database research honor recognizing papers from the Very Large Data Bases (VLDB) conference that have had significant and lasting impact on the field over many years.
-
B.
ACM SIGMOD Best Paper Award
The ACM SIGMOD Best Paper Award is a prestigious annual honor recognizing the most outstanding research paper presented at the ACM SIGMOD Conference on data management.
-
C.
ACM SIGMOD Test of Time Award
The ACM SIGMOD Test of Time Award is a prestigious database research honor recognizing SIGMOD conference papers whose ideas have had a lasting and significant impact on the field.
-
D.
ACM SIGMOD Contributions Award
The ACM SIGMOD Contributions Award is a prestigious annual honor recognizing individuals who have made outstanding and sustained service contributions to the database systems community.
-
E.
ACM SIGMOD Jim Gray Dissertation Award
The ACM SIGMOD Jim Gray Dissertation Award is a prestigious annual honor recognizing the best doctoral thesis in the field of data management and database systems.
- F. None of above. chosen
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
academic award
ⓘ
computer science award ⓘ research paper award ⓘ |
| announcedDuring | VLDB conference closing session ⓘ |
| awardFor |
best paper at VLDB conference
ⓘ
most outstanding research paper ⓘ |
| country | international ⓘ |
| discipline | computer science ⓘ |
| domain |
data-intensive systems
ⓘ
very large databases ⓘ |
| eventType | conference award ⓘ |
| field |
data management
ⓘ
database systems ⓘ |
| focus |
innovation in data management
ⓘ
research excellence ⓘ technical contribution ⓘ |
| frequency | annual ⓘ |
| hasCategory | best research paper ⓘ |
| hasLanguage | English ⓘ |
| impact |
enhances visibility of awarded paper
ⓘ
recognizes leading work in data management ⓘ |
| inceptionPeriod | 20th century ⓘ |
| organizer |
VLDB Endowment
ⓘ
surface form:
VLDB Endowment Board
|
| partOf |
VLDB Conference
ⓘ
surface form:
VLDB conference program
|
| presentedAt |
VLDB Conference
ⓘ
surface form:
Very Large Data Bases conference
|
| presentedBy | VLDB Endowment ⓘ |
| recognition | prestigious honor in database research ⓘ |
| relatedTo |
VLDB Endowment Awards
ⓘ
VLDB Conference ⓘ
surface form:
VLDB conference
|
| selectionCriteria |
clarity of presentation
ⓘ
originality ⓘ significance of results ⓘ technical quality ⓘ |
| selectionProcess |
peer review
ⓘ
program committee decision ⓘ |
| sponsorType | non-profit organization ⓘ |
| status | active ⓘ |
| typicalRecipient |
computer science academic
ⓘ
database researcher ⓘ |
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.
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.
Subject: VLDB Best Paper Award Description of subject: The VLDB Best Paper Award is a prestigious honor presented at the Very Large Data Bases (VLDB) conference to recognize the most outstanding research paper in the field of database systems and data management.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.