Triple
T1600925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée de l’Orangerie |
E34388
|
entity |
| Predicate | galleryType |
P10264
|
FINISHED |
| Object | impressionist art gallery |
—
|
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: impressionist art gallery | Statement: [Musée de l’Orangerie, galleryType, impressionist art gallery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: galleryType Context triple: [Musée de l’Orangerie, galleryType, impressionist art gallery]
-
A.
gallerySpace
Indicates that one entity serves as a gallery or exhibition space for displaying the other entity.
-
B.
hasGallery
Indicates that one entity possesses, contains, or is associated with a gallery, such as a collection or display space.
-
C.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
-
D.
exhibitionGalleries
Indicates that an exhibition is displayed or hosted in one or more specific galleries.
-
E.
exhibitionSpaceType
chosen
Indicates the specific kind or category of space used to display or present exhibitions.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.