Triple

T4279827
Position Surface form Disambiguated ID Type / Status
Subject Amazon RDS E97121 entity
Predicate supportsDatabaseEngine P11254 FINISHED
Object Amazon Aurora
Amazon Aurora is a fully managed, cloud-native relational database engine from AWS designed for high performance, scalability, and compatibility with MySQL and PostgreSQL.
E427707 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Amazon Aurora | Statement: [Amazon RDS, supportsDatabaseEngine, Amazon Aurora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Aurora
Context triple: [Amazon RDS, supportsDatabaseEngine, Amazon Aurora]
  • A. Amazon Neptune
    Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
  • B. Amazon RDS
    Amazon RDS is a managed relational database service by Amazon Web Services that simplifies setup, operation, and scaling of databases in the cloud.
  • C. Amazon Redshift
    Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
  • D. Amazon DynamoDB
    Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
  • E. Amazon DocumentDB
    Amazon DocumentDB is a fully managed, scalable document database service from AWS designed to be compatible with MongoDB workloads and optimized for performance, durability, and security in the cloud.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amazon Aurora
Triple: [Amazon RDS, supportsDatabaseEngine, Amazon Aurora]
Generated description
Amazon Aurora is a fully managed, cloud-native relational database engine from AWS designed for high performance, scalability, and compatibility with MySQL and PostgreSQL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amazon Aurora
Target entity description: Amazon Aurora is a fully managed, cloud-native relational database engine from AWS designed for high performance, scalability, and compatibility with MySQL and PostgreSQL.
  • A. Amazon Neptune
    Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
  • B. Amazon RDS
    Amazon RDS is a managed relational database service by Amazon Web Services that simplifies setup, operation, and scaling of databases in the cloud.
  • C. Amazon Redshift
    Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
  • D. Amazon DynamoDB
    Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
  • E. Amazon DocumentDB
    Amazon DocumentDB is a fully managed, scalable document database service from AWS designed to be compatible with MongoDB workloads and optimized for performance, durability, and security in the cloud.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsDatabaseEngine
Context triple: [Amazon RDS, supportsDatabaseEngine, Amazon Aurora]
  • A. hasDatabase
    Indicates that an entity possesses, uses, or is associated with a specific database.
  • B. databaseType
    Indicates the specific kind or category of database technology associated with an entity.
  • C. isSupportedBy
    Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
  • D. supportsDatastoreType chosen
    Indicates that one entity is capable of working with, handling, or being compatible with a specified type of datastore.
  • E. usedInDatabases
    Indicates that something is employed or implemented within one or more database systems or database contexts.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350367da48190b735deef9b5d2d2e completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b708b481908c1683741f84ee55 completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5bb84ed808190891f2a75296c11c6 completed March 14, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5bc392228819089fe64b55bb572cc completed March 14, 2026, 7:51 p.m.
PD Predicate disambiguation batch_69b347fc4c0c8190a7fcd814e27308a5 completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:07 p.m.