Triple
T26968134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa Alsberg |
E679228
|
entity |
| Predicate | hasFocusOfCurrentMuseum |
P113082
|
FINISHED |
| Object | contemporary art |
—
|
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: contemporary art | Statement: [Villa Alsberg, hasFocusOfCurrentMuseum, contemporary art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFocusOfCurrentMuseum Context triple: [Villa Alsberg, hasFocusOfCurrentMuseum, contemporary art]
-
A.
hasMuseumCollectionFocus
chosen
Indicates that a museum collection is primarily centered on, dedicated to, or thematically focused around a particular subject, type of object, or area of interest.
-
B.
hasExhibitionFocus
Indicates that an exhibition is primarily centered on, or thematically dedicated to, a particular subject, medium, or focus area.
-
C.
hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
-
D.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
E.
hasMuseumComponent
Indicates that something includes, contains, or is composed of a museum or museum-related part as one of its components.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 27, 2026, 6:37 a.m.