Triple
T28442817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokutek |
E715757
|
entity |
| Predicate | storageEngineType |
P164729
|
FINISHED |
| Object | MySQL storage engine vendor |
—
|
LITERAL 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 storage engine vendor | Statement: [Tokutek, storageEngineType, MySQL storage engine vendor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storageEngineType Context triple: [Tokutek, storageEngineType, MySQL storage engine vendor]
-
A.
storageMechanism
Indicates the method or system by which something is stored, preserved, or kept for later use.
-
B.
persistenceType
Indicates the manner or mode in which something continues to exist, endure, or remain over time.
-
C.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
D.
defaultStorageEngineOf
Indicates that one entity is the storage engine that is used by default by another entity (such as a database system or configuration).
-
E.
storageOption
Indicates how or where something is stored, specifying the chosen method, medium, or configuration for its storage.
- F. None of above. chosen
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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:47 a.m.