Triple

T1672124
Position Surface form Disambiguated ID Type / Status
Subject MariaDB E36148 entity
Predicate forkedFrom P909 FINISHED
Object MySQL E17668 NE FINISHED

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: [MariaDB, forkedFrom, MySQL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MySQL
Context triple: [MariaDB, forkedFrom, 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 HeatWave
    MySQL HeatWave is a fully managed, in-memory query acceleration and analytics engine integrated with MySQL to deliver high-performance OLTP and OLAP processing on the same database service.
  • D. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • E. SQL
    SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
  • 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: forkedFrom
Context triple: [MariaDB, forkedFrom, MySQL]
  • A. developedFrom
    Indicates that one entity originates, evolves, or is derived from another as its source or precursor.
  • B. derivedFrom chosen
    Indicates that one entity originates, is obtained, or is developed from another source entity.
  • C. inheritedFrom
    Indicates that one entity has received or derived something (such as traits, rights, or property) from another entity, typically a predecessor or ancestor.
  • D. builtFrom
    Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
  • E. derivedBy
    Indicates that one entity is obtained, produced, or inferred from another through some transformation, process, or reasoning.
  • F. None of above.

Provenance (4 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab272a653481908f48aa1eed5de8a4 completed March 6, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad7988bda081908a966ae1f589cb8f completed March 8, 2026, 1:28 p.m.
PD Predicate disambiguation batch_69aa61b2f6288190b2348ef7d7e4672d completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:29 p.m.