Triple
T8706633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sysplex |
E206667
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | clustering technology |
C14787
|
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: clustering technology Context triple: [Sysplex, instanceOf, clustering technology]
-
A.
partition-based clustering method
A partition-based clustering method is an approach that divides a dataset into a predefined number of non-overlapping groups (clusters) by directly assigning each data point to exactly one cluster based on a chosen similarity or distance measure.
-
B.
data center
chosen
A data center is a specialized facility that houses networked computer systems, storage, and infrastructure to process, manage, and store large volumes of digital data.
-
C.
unsupervised learning method
An unsupervised learning method is a type of machine learning approach that discovers patterns, structures, or groupings in unlabeled data without predefined output targets.
-
D.
distributed object technology
Distributed object technology is a software architecture paradigm that enables objects located on different networked computers to interact with each other as if they were local, supporting remote method invocation, transparency, and interoperability across distributed systems.
-
E.
technology alliance
A technology alliance is a strategic partnership between organizations that collaborate to develop, share, or integrate technological resources, expertise, and innovations to achieve mutual goals.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.