Triple
T10224439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Boutique des Artistes |
E243165
|
entity |
| Predicate | hasProductStyle |
P15064
|
FINISHED |
| Object | French-inspired design |
—
|
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: French-inspired design | Statement: [La Boutique des Artistes, hasProductStyle, French-inspired design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductStyle Context triple: [La Boutique des Artistes, hasProductStyle, French-inspired design]
-
A.
productStyle
chosen
Indicates the stylistic category or design theme that characterizes a product.
-
B.
hasProduct
Indicates that an entity possesses, offers, or is associated with a particular product.
-
C.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
D.
hasContractStyle
Indicates that one entity is associated with or characterized by a particular contract style or contractual format.
-
E.
hasProductAttribute
Indicates that a product is associated with a specific attribute describing one of its characteristics or properties.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:16 a.m.