Triple

T4277250

Position	Surface form	Disambiguated ID	Type / Status
Subject	KMeans	`E97072`	entity
Predicate	instanceOf	`P0`	FINISHED
Object	clustering algorithm	`C6819`	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 algorithm
Context triple: [KMeans, instanceOf, clustering algorithm]

A. algorithm chosen
An algorithm is a finite, well-defined sequence of computational steps or rules designed to solve a specific problem or perform a particular task.
B. points classification
Points classification is a conceptual class that categorizes entities based on accumulated points or scores according to predefined criteria or performance metrics.
C. framework for classifying geometries
A framework for classifying geometries is a structured system of principles and criteria used to organize and distinguish different types of geometric spaces based on their properties and relationships.
D. machine learning library
A machine learning library is a collection of tools, algorithms, and interfaces that simplifies building, training, evaluating, and deploying machine learning models.
E. centre
A centre is a designated facility or focal point where specific activities, services, or operations are coordinated and provided.
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_69b34544be3c819084d1ab82d29f90c5`	completed	March 12, 2026, 10:59 p.m.

Created at: March 12, 2026, 11:07 p.m.