Triple

T1594404
Position Surface form Disambiguated ID Type / Status
Subject Berlin State Opera E34246 entity
Predicate architecturalStyleOriginal P607 FINISHED
Object Baroque 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: Baroque | Statement: [Berlin State Opera, architecturalStyleOriginal, Baroque]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: architecturalStyleOriginal
Context triple: [Berlin State Opera, architecturalStyleOriginal, Baroque]
  • A. architecturalStyle chosen
    Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
  • B. architecturalStylePromoted
    Indicates the architectural style that an entity actively supported, advocated for, or helped popularize.
  • C. rebuiltInArchitecturalStyleBy
    Indicates that something was reconstructed or renovated according to a particular architectural style by a specified agent (such as an architect, firm, or organization).
  • D. architecturalConcept
    Indicates that one entity represents or embodies an architectural concept in relation to another entity.
  • E. architecturalInfluence
    Indicates that one architectural style, structure, or designer has had a formative impact on the design, style, or features of another.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a916d413f08190a4e137e5ed262e25 completed March 5, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69a907bfb39c8190a31e0be14d3d52e6 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.