Triple

T35237116
Position Surface form Disambiguated ID Type / Status
Subject Normalized Cuts for image segmentation E1017405 entity
Predicate instanceOf P0 FINISHED
Object graph-based 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: graph-based clustering method
Context triple: [Normalized Cuts for image segmentation, instanceOf, graph-based 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. 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.
  • C. 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.
  • 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. art gallery cluster
    An art gallery cluster is a geographically concentrated group of art galleries that collectively attract visitors, foster cultural exchange, and stimulate the local creative economy.
  • 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.