Triple

T18528881
Position Surface form Disambiguated ID Type / Status
Subject Mambo E452785 entity
Predicate databaseBackend P11852 FINISHED
Object MySQL NE NERFINISHED

How this triple was built (3 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: MySQL | Statement: [Mambo, databaseBackend, MySQL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MySQL
Context triple: [Mambo, databaseBackend, MySQL]
  • A. MySQL chosen
    MySQL is a widely used open-source relational database management system known for its reliability, performance, and role in powering many web applications and services.
  • B. MariaDB
    MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
  • C. MySQL AB
    MySQL AB was the Swedish company that developed and commercially supported the popular open-source MySQL relational database management system.
  • D. MySQL Enterprise Edition
    MySQL Enterprise Edition is the commercial, subscription-based version of the MySQL database that provides advanced features, security, management tools, and official support for enterprise environments.
  • E. Percona XtraDB
    Percona XtraDB is an enhanced, high-performance fork of the InnoDB storage engine used in MySQL and MariaDB, optimized for improved scalability, reliability, and performance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: databaseBackend
Context triple: [Mambo, databaseBackend, MySQL]
  • A. databaseType
    Indicates the specific kind or category of database technology associated with an entity.
  • B. databaseProduct
    Indicates that one entity is a database system that serves as the product or platform associated with another entity.
  • C. databaseIntroducedIn
    Indicates the point in time, version, or context in which a particular database was first introduced or made available.
  • D. hasDatabase chosen
    Indicates that an entity possesses, uses, or is associated with a specific database.
  • E. databaseKey
    Indicates that one entity serves as a unique key or identifier for accessing or referencing another entity within a database.
  • F. None of above.

Provenance (3 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fad2d081908395914d6a6b4eb1 completed April 19, 2026, 7:58 p.m.
PD Predicate disambiguation batch_69e469e0025c81908f16ed4f922674af completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:37 a.m.