Triple
T9810945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathédrale Saint-François-de-Sales de Chambéry |
E238267
|
entity |
| Predicate | interiorDecorationType |
P63166
|
FINISHED |
| Object | trompe-l'œil frescoes |
—
|
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: trompe-l'œil frescoes | Statement: [Cathédrale Saint-François-de-Sales de Chambéry, interiorDecorationType, trompe-l'œil frescoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interiorDecorationType Context triple: [Cathédrale Saint-François-de-Sales de Chambéry, interiorDecorationType, trompe-l'œil frescoes]
-
A.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
-
B.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
C.
interiorDecoratedBy
Indicates that the interior of a space or structure has been designed or decorated by a specific agent or entity.
-
D.
decorativeCategory
chosen
Indicates that one entity is classified as belonging to a particular decorative style, theme, or ornamentation category of another entity.
-
E.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2214a7c8190b516acf64e2b85db |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:30 p.m.