Triple
T27714752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schule für Kunstgewerbe in Berlin |
E698783
|
entity |
| Predicate | architecturalContributor |
P126551
|
FINISHED |
| Object | Martin Gropius |
—
|
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: Martin Gropius | Statement: [Schule für Kunstgewerbe in Berlin, architecturalContributor, Martin Gropius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalContributor Context triple: [Schule für Kunstgewerbe in Berlin, architecturalContributor, Martin Gropius]
-
A.
architecturalContribution
Indicates a relationship where an entity contributes to the design, planning, or creation of an architectural work or feature.
-
B.
architectAttribution
chosen
Indicates that one entity is credited as the architect responsible for the design or creation of another entity.
-
C.
coArchitectOf
Indicates a relationship where two or more entities jointly serve as architects of the same project, design, or structure.
-
D.
architectOfStructure
Indicates that an entity is the designer or creator responsible for the architectural design of a particular structure.
-
E.
architectOrigin
Indicates that an architect originally comes from, or is associated with, a particular place or region.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 27, 2026, 3:04 p.m.