Triple
T806116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trump Restaurants |
E17437
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | restaurant brand |
C6094
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: restaurant brand Context triple: [Trump Restaurants, instanceOf, restaurant brand]
-
A.
gourmet restaurant
A gourmet restaurant is a high-end dining establishment that offers meticulously prepared, artistically presented dishes made from premium ingredients, often accompanied by exceptional service and an extensive wine selection.
-
B.
hospitality brand
A hospitality brand is a distinctive identity that represents a company’s promise, values, and guest experience across its hotels, resorts, or related services in the travel and lodging industry.
-
C.
French restaurant
A French restaurant is a dining establishment that specializes in preparing and serving cuisine inspired by the culinary traditions, techniques, and ingredients of France, often emphasizing refined presentation and a curated wine selection.
-
D.
fine-dining restaurant
A fine-dining restaurant is an upscale establishment that offers meticulously prepared gourmet cuisine, refined service, and an elegant atmosphere, often with a focus on high-quality ingredients and an extensive wine list.
-
E.
Italian restaurant
An Italian restaurant is a dining establishment that specializes in serving Italian cuisine, typically featuring pasta, pizza, regional dishes, and Italian wines in an ambiance reflecting Italian culture.
- F. None of above. chosen
Provenance (1 batch)
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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
Created at: March 1, 2026, 7:38 p.m.