Triple
T7970570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pym Tasting Lab |
E185311
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | eatery |
C16761
|
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: eatery Context triple: [Pym Tasting Lab, instanceOf, eatery]
-
A.
food hall
A food hall is a large, shared dining space that houses multiple independent food and beverage vendors offering diverse cuisines in a communal setting.
-
B.
dining location
A dining location is a place where people can sit and consume food and beverages, typically prepared and served on-site.
-
C.
food and beverage location
chosen
A food and beverage location is a place where customers can purchase and consume prepared food and drinks, such as restaurants, cafés, bars, or food courts.
-
D.
restaurant chain
A restaurant chain is a business organization that operates multiple restaurant locations under a common brand, menu, and management system.
-
E.
restaurant brand
A restaurant brand is a conceptual entity that encapsulates the unique identity, values, visual style, and customer experience associated with a specific dining establishment or chain.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:13 p.m.