Triple

T26345663
Position Surface form Disambiguated ID Type / Status
Subject Semantic Web agents E662771 entity
Predicate typicalArchitectureIncludes P186985 FINISHED
Object knowledge base LITERAL FINISHED

How this triple was built (2 steps)

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.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: knowledge base | Statement: [Semantic Web agents, typicalArchitectureIncludes, knowledge base]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalArchitectureIncludes
Context triple: [Semantic Web agents, typicalArchitectureIncludes, knowledge base]
  • A. exampleArchitecture
    Indicates that one entity serves as a representative or illustrative instance of the architectural style, structure, or design of another entity.
  • B. architecturalElements chosen
    Indicates a relationship where certain components or features function as structural or design elements within an architectural context.
  • C. traditionalStructureIncludes
    Indicates that a traditional structure contains, incorporates, or is composed of the specified component or element.
  • D. architectureType
    Indicates the specific style or category of architecture that characterizes or defines an entity.
  • E. architecturalStyleIncludes
    Indicates that a structure, building, or design incorporates or exemplifies a particular architectural style as one of its defining characteristics.
  • F. None of above.

Provenance (3 batches)

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_69ee81304194819092e20e0fae3aee07 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69fe779248c081909f0ed1a2a0df23db completed May 8, 2026, 11:53 p.m.
PD Predicate disambiguation batch_69fe76eaf6d48190998bc7168749cc42 completed May 8, 2026, 11:51 p.m.
Created at: April 26, 2026, 10:41 p.m.