Triple

T35679055
Position Surface form Disambiguated ID Type / Status
Subject Dolianova E1030950 entity
Predicate architecturalStyleOfMainCathedral P607 FINISHED
Object Romanesque NE NERFINISHED

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: Romanesque | Statement: [Dolianova, architecturalStyleOfMainCathedral, Romanesque]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: architecturalStyleOfMainCathedral
Context triple: [Dolianova, architecturalStyleOfMainCathedral, Romanesque]
  • A. hasCathedralStyle
    Indicates that something possesses or is characterized by a particular architectural style associated with a cathedral.
  • B. hasMainCathedral
    Indicates that an entity possesses or is associated with a primary cathedral that serves as its main ecclesiastical center.
  • C. architecturalStyle chosen
    Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
  • D. parishChurchArchitectureStyle
    Indicates the architectural style or design tradition in which a parish church is built or characterized.
  • E. hasCathedralType
    Indicates that an entity is associated with, classified by, or designated as having a specific type or category of cathedral.
  • 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_69f76e0bb6608190ad3a1880be54a17d completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fccdd496048190bca801a8a9eecb62 completed May 7, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69fcccee6240819084680887731ff64b completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:05 p.m.