Triple
T15142093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vom Sofakissen zum Städtebau |
E361708
|
entity |
| Predicate | expressesAmbition |
P6636
|
FINISHED |
| Object | to improve design quality at every scale |
—
|
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: to improve design quality at every scale | Statement: [Vom Sofakissen zum Städtebau, expressesAmbition, to improve design quality at every scale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expressesAmbition Context triple: [Vom Sofakissen zum Städtebau, expressesAmbition, to improve design quality at every scale]
-
A.
motivationFor
Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
-
B.
canAchieve
Indicates that an entity has the ability or potential to successfully attain or accomplish a specified goal, state, or outcome.
-
C.
motivatedByGoal
Indicates that an action, behavior, or state occurs as a result of an intention to achieve a specific goal or desired outcome.
-
D.
goals
chosen
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
-
E.
artisticAmbition
Indicates a desire or drive to create, achieve, or excel in artistic or creative pursuits.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:07 a.m.