Triple
T18737621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longkou vermicelli |
E458205
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Chinese specialty food |
C15538
|
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: Chinese specialty food Context triple: [Longkou vermicelli, instanceOf, Chinese specialty food]
-
A.
Chinese regional cuisine
Chinese regional cuisine encompasses the diverse, locality-specific culinary traditions of China, each defined by unique ingredients, techniques, and flavor profiles shaped by geography, climate, and culture.
-
B.
traditional food product
chosen
A traditional food product is a culturally rooted edible item made using long-established recipes, ingredients, and methods that are characteristic of a specific region or community.
-
C.
Taiwanese noodle dish
A Taiwanese noodle dish is a savory preparation featuring noodles served in broth or stir-fried, typically accompanied by regional toppings such as braised meats, seafood, vegetables, and aromatic seasonings that reflect Taiwan’s diverse culinary influences.
-
D.
Chinese restaurant
A Chinese restaurant is a dining establishment that specializes in preparing and serving Chinese cuisine, often featuring regional dishes, traditional cooking techniques, and culturally themed decor.
-
E.
Chinese tea
Chinese tea is a diverse category of beverages made from the leaves of Camellia sinensis, processed through distinct traditional methods (such as green, black, oolong, white, yellow, and dark/pu-erh) that reflect regional cultures, terroir, and craftsmanship across China.
- F. None of above.
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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:51 a.m.