Triple

T4600046
Position Surface form Disambiguated ID Type / Status
Subject David Axmark E100300 entity
Predicate associatedWith P37 FINISHED
Object MySQL AB E428638 NE FINISHED

How this triple was built (2 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 AB | Statement: [David Axmark, associatedWith, MySQL AB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MySQL AB
Context triple: [David Axmark, associatedWith, MySQL AB]
  • A. MySQL AB chosen
    MySQL AB was the Swedish company that developed and commercially supported the popular open-source MySQL relational database management system.
  • B. MySQL
    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.
  • C. MariaDB
    MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
  • D. MariaDB Corporation
    MariaDB Corporation is a software company that develops and supports the MariaDB open-source relational database, a popular alternative to MySQL for enterprise and cloud applications.
  • E. MariaDB Foundation
    MariaDB Foundation is a non-profit organization that oversees the development, governance, and community ecosystem of the open-source MariaDB database.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5971f448819090f6e76c7d3ffc2d completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa5a7aac8190b540b80816d55051 completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.