Triple
T24039890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosersberg Palace |
E595340
|
entity |
| Predicate | eraOfMajorInteriors |
P133043
|
FINISHED |
| Object | late 18th century |
—
|
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: late 18th century | Statement: [Rosersberg Palace, eraOfMajorInteriors, late 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfMajorInteriors Context triple: [Rosersberg Palace, eraOfMajorInteriors, late 18th century]
-
A.
eraOfFurnishings
chosen
Indicates the historical time period or style from which a set of furnishings originates or to which it belongs.
-
B.
hasRichInteriorDecoration
Indicates that an entity features elaborate, ornate, or luxuriously detailed interior decoration.
-
C.
typicalInterior
Indicates that one entity is the usual or characteristic interior of another entity.
-
D.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
E.
interiorDecoratedBy
Indicates that the interior of a space or structure has been designed or decorated by a specific agent or entity.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d7a51c8190b108a4f862843209 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:57 p.m.