Triple

T8151806
Position Surface form Disambiguated ID Type / Status
Subject Spider E190350 entity
Predicate developedFor P98 FINISHED
Object MariaDB E36148 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: MariaDB | Statement: [Spider, developedFor, MariaDB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MariaDB
Context triple: [Spider, developedFor, MariaDB]
  • A. MariaDB chosen
    MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
  • 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. 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.
  • 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. Percona Server for MySQL
    Percona Server for MySQL is an enhanced, open-source drop-in replacement for MySQL designed for improved performance, scalability, and reliability in demanding database environments.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4483799c81908e73f9a87ed99185 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd679a353c8190abe30eb7db13c072 completed April 1, 2026, 6:44 p.m.
Created at: March 30, 2026, 5:37 p.m.