Triple
T8151904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galera Cluster |
E190352
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | synchronous multi-master replication solution |
C903
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: synchronous multi-master replication solution Context triple: [Galera Cluster, instanceOf, synchronous multi-master replication solution]
-
A.
high-availability solution
A high-availability solution is an architecture and set of mechanisms designed to ensure that a system or service remains continuously operational and accessible with minimal downtime, even in the face of failures or maintenance activities.
-
B.
high availability solution
A high availability solution is a system design and set of mechanisms that ensure critical services remain continuously accessible with minimal downtime, even in the face of failures or maintenance activities.
-
C.
megastore
A megastore is a very large retail establishment that offers an extensive variety of products across multiple categories, often combining the functions of a supermarket, department store, and specialty shops under one roof.
-
D.
distributed system
chosen
A distributed system is a collection of independent computers that appear to users as a single coherent system by coordinating and communicating over a network to achieve common goals.
-
E.
distributed systems problem
A distributed systems problem is a challenge that arises from coordinating multiple independent computing nodes to work together reliably, efficiently, and consistently despite failures, latency, and partial information.
- F. None of above.
Provenance (1 batch)
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. |
Created at: March 30, 2026, 5:37 p.m.