Triple
T17519963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQLModel |
E426657
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | MariaDB |
—
|
NE NERFINISHED |
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: [SQLModel, supports, MariaDB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MariaDB Context triple: [SQLModel, supports, 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 (2 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d18c1c81908bb843bbddb44ca1 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.