Triple
T22800790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palazzo Spada |
E564383
|
entity |
| Predicate | hasArtCollectionFocus |
P63630
|
FINISHED |
| Object | Baroque painting |
—
|
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: Baroque painting | Statement: [Palazzo Spada, hasArtCollectionFocus, Baroque painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtCollectionFocus Context triple: [Palazzo Spada, hasArtCollectionFocus, Baroque painting]
-
A.
hasArtCollection
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
B.
hasMuseumCollectionFocus
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.
-
C.
artCollectionFocus
chosen
Indicates that an art collection is primarily centered around or devoted to a particular theme, style, period, subject, or type of artwork.
-
D.
hasExhibitionFocus
Indicates that an exhibition is primarily centered on, or thematically dedicated to, a particular subject, medium, or focus area.
-
E.
hasArtGallery
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdc72908190827c9e36a498dc97 |
completed | April 29, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:31 p.m.