Table API
E828308
Table API is a schema-less, key-value data access interface in Azure Cosmos DB designed for scalable, low-latency storage and retrieval of tabular data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Table API canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9899056 — 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: Table API Context triple: [Azure Cosmos DB, supportsAPI, Table API]
-
A.
Table API
Table API is Apache Flink’s high-level, declarative interface for expressing data processing and analytics using relational-style operations on streaming and batch data.
-
B.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
C.
SQL API
SQL API is a query interface in Apache Flink that lets users define streaming and batch data processing logic using standard SQL syntax.
-
D.
Tabular Editor
Tabular Editor is a specialized development tool for creating, managing, and optimizing tabular models used in platforms like Azure Analysis Services and Power BI.
-
E.
DataSet API
DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
- 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: Table API Target entity description: Table API is a schema-less, key-value data access interface in Azure Cosmos DB designed for scalable, low-latency storage and retrieval of tabular data.
-
A.
Table API
Table API is Apache Flink’s high-level, declarative interface for expressing data processing and analytics using relational-style operations on streaming and batch data.
-
B.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
-
C.
SQL API
SQL API is a query interface in Apache Flink that lets users define streaming and batch data processing logic using standard SQL syntax.
-
D.
Tabular Editor
Tabular Editor is a specialized development tool for creating, managing, and optimizing tabular models used in platforms like Azure Analysis Services and Power BI.
-
E.
DataSet API
DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
Azure Cosmos DB API
ⓘ
cloud database interface ⓘ key-value data access interface ⓘ |
| backedBy | Azure Cosmos DB storage engine ⓘ |
| compatibleWith | Azure Table storage client libraries ⓘ |
| dataModel |
entities
ⓘ
properties ⓘ tables ⓘ |
| designedFor |
global distribution
ⓘ
high availability ⓘ low-latency data access ⓘ scalable storage ⓘ |
| developedBy | Microsoft ⓘ |
| isSchema | schema-less ⓘ |
| offers |
automatic indexing of properties
ⓘ
pay-as-you-go pricing via Azure Cosmos DB ⓘ |
| partOf | Azure Cosmos DB ⓘ |
| relatedTo |
Azure Table storage
ⓘ
linked to:
Azure Storage
|
| runsOn |
Microsoft Azure
ⓘ
linked to:
Azure
|
| supportsFeature |
automatic failover
ⓘ
automatic indexing ⓘ elastic scalability ⓘ global distribution of data ⓘ low-latency reads ⓘ low-latency writes ⓘ multi-region writes ⓘ partitioning by partition key ⓘ row key-based access ⓘ throughput provisioning ⓘ |
| supportsLanguage |
.NET
ⓘ
Java ⓘ Node.js ⓘ Python ⓘ other Azure-supported SDK languages ⓘ |
| supportsModel |
key-value
ⓘ
tabular data ⓘ |
| supportsOperation |
batch operations
ⓘ
delete ⓘ insert ⓘ query ⓘ update ⓘ |
| supportsProtocol | Azure Table storage REST API semantics ⓘ |
| useCase |
IoT telemetry storage
ⓘ
logging data storage ⓘ metadata storage ⓘ time-series data storage ⓘ user profile storage ⓘ |
| usesConcept |
partition key
ⓘ
row key ⓘ |
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: Table API Description of subject: Table API is a schema-less, key-value data access interface in Azure Cosmos DB designed for scalable, low-latency storage and retrieval of tabular data.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.