Triple

T28736625

Position	Surface form	Disambiguated ID	Type / Status
Subject	Blazegraph	`E730818`	entity
Predicate	instanceOf	`P0`	FINISHED
Object	RDF store	`C50511`	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: RDF store
Context triple: [Blazegraph, instanceOf, RDF store]

A. SPARQL query engine chosen
A SPARQL query engine is a software component that parses, optimizes, and executes SPARQL queries over RDF data sources to retrieve and manipulate semantic web data.
B. RDF mapping language
An RDF mapping language is a formal language used to define how data from various sources is transformed and expressed as RDF triples, enabling semantic integration and interoperability across heterogeneous systems.
C. RDF resource
An RDF resource is any identifiable entity (real or abstract) that can be uniquely referenced by a URI and described using RDF statements.
D. RDF container class
An RDF container class represents a collection of RDF resources or literals, typically used to model ordered or unordered groups such as bags, sequences, or alternatives within an RDF graph.
E. RDF class
An RDF class is a resource that defines a category or type of things in an RDF graph, used to classify resources via rdf:type relationships.
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_69f043eae0908190b28ce314686247d7`	completed	April 28, 2026, 5:21 a.m.

Created at: April 28, 2026, 6:01 a.m.