Triple
T35237118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normalized Cuts for image segmentation |
E1017405
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | spectral clustering method |
C15494
|
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: spectral clustering method Context triple: [Normalized Cuts for image segmentation, instanceOf, spectral clustering method]
-
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.
unsupervised learning method
chosen
An unsupervised learning method is a type of machine learning approach that discovers patterns, structures, or groupings in unlabeled data without predefined output targets.
-
C.
clustering solution
A clustering solution is a configuration of groups formed by partitioning a dataset into subsets of similar instances according to a defined similarity or distance measure.
-
D.
Count of Louvain
The Count of Louvain is a noble title historically associated with the medieval rulers of the region around Louvain (Leuven) in present-day Belgium, signifying territorial authority, feudal power, and aristocratic lineage.
-
E.
spectroscopy method
A spectroscopy method is a technique that measures the interaction between electromagnetic radiation and matter to determine the composition, structure, or properties of a sample.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.