Triple
T1977763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vence |
E42953
|
entity |
| Predicate | hasWorkOfArt |
P1572
|
FINISHED |
| Object | Chapelle du Rosaire decorated by Henri Matisse |
—
|
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: Chapelle du Rosaire decorated by Henri Matisse | Statement: [Vence, hasWorkOfArt, Chapelle du Rosaire decorated by Henri Matisse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkOfArt Context triple: [Vence, hasWorkOfArt, Chapelle du Rosaire decorated by Henri Matisse]
-
A.
exhibitsWorkOf
Indicates that one entity displays or presents the creative works produced by another entity.
-
B.
hasPublicArtwork
chosen
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
-
C.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
D.
hasArtCollection
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
E.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb42ecde881909bc9132885d8d0bd |
completed | March 7, 2026, 5:14 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.