Triple
T11602388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis XV period |
E275162
|
entity |
| Predicate | typicalFurnitureFeature |
P5084
|
FINISHED |
| Object | cabriole legs |
—
|
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: cabriole legs | Statement: [Louis XV period, typicalFurnitureFeature, cabriole legs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFurnitureFeature Context triple: [Louis XV period, typicalFurnitureFeature, cabriole legs]
-
A.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
-
B.
typicalFeatures
chosen
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
C.
furniture
Indicates that one entity is a piece of furniture associated with, located in, or used by another entity.
-
D.
featuresDecor
Indicates that one entity includes or showcases the decor elements provided or defined by another entity.
-
E.
chairType
Indicates the specific kind or category of chair that an entity is classified as.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954daa908190a8d532e43aa4a881 |
completed | April 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.