Triple
T21158441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulturgeschichtliches Museum Osnabrück |
E521370
|
entity |
| Predicate | hasExhibitionSpaceFor |
P104143
|
FINISHED |
| Object | Felix Nussbaum |
—
|
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: Felix Nussbaum | Statement: [Kulturgeschichtliches Museum Osnabrück, hasExhibitionSpaceFor, Felix Nussbaum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExhibitionSpaceFor Context triple: [Kulturgeschichtliches Museum Osnabrück, hasExhibitionSpaceFor, Felix Nussbaum]
-
A.
hasExhibitionVenue
Indicates that an exhibition is held or hosted at a particular venue.
-
B.
hasExhibitionArea
Indicates that an entity includes or provides a designated space or area for exhibitions or displays.
-
C.
hasExhibitsFrom
chosen
Indicates a relationship where one entity (typically a venue or collection) includes or displays exhibits originating from another entity (such as an artist, institution, or location).
-
D.
exhibitedBy
Indicates that something (such as a quality, behavior, or characteristic) is shown, displayed, or demonstrated by a particular entity.
-
E.
hasExhibitionsAbout
Indicates that one entity organizes or presents exhibitions whose subject matter concerns another entity.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252dc3f0819094c6acf52a9f308d |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:59 p.m.