Triple

T19930388
Position Surface form Disambiguated ID Type / Status
Subject Schützengasse residential building, Berlin E479035 entity
Predicate fieldOfWorkOfArchitect P3 FINISHED
Object urban architecture 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: urban architecture | Statement: [Schützengasse residential building, Berlin, fieldOfWorkOfArchitect, urban architecture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldOfWorkOfArchitect
Context triple: [Schützengasse residential building, Berlin, fieldOfWorkOfArchitect, urban architecture]
  • A. architecturalWork
    Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
  • B. fieldOfWork chosen
    Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
  • C. architecturalWorkType
    Indicates the specific kind or category of architectural work that characterizes the relationship between entities.
  • D. relatedWorkOfArchitect
    Indicates that one work is related to, associated with, or otherwise connected in context or authorship to an architect.
  • E. hasArchitecturalDiscipline
    Indicates that one entity is associated with, practices, or specializes in a particular architectural discipline or field.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a13265c8190bc01d3af5bd658d7 completed April 20, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69e537f070b481908958e0e5911dcdc1 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:53 p.m.