Triple
T19450881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caffè Macs cafeteria |
E486610
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | corporate cafeteria |
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: corporate cafeteria Context triple: [Caffè Macs cafeteria, instanceOf, corporate cafeteria]
-
A.
on-campus dining venue
An on-campus dining venue is a food service location situated within a college or university that provides meals, snacks, and beverages to students, faculty, staff, and visitors, often accepting campus meal plans and offering spaces for socializing or studying.
-
B.
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.
-
C.
fictional corporate office
A fictional corporate office is an imagined workplace setting that represents the structure, culture, and daily operations of a business organization, often used as a backdrop for storytelling, satire, or exploration of professional dynamics.
-
D.
airline catering company
An airline catering company is a specialized service provider that prepares, packages, and delivers meals, beverages, and related onboard provisions to airlines for in-flight service.
-
E.
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.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
Created at: April 10, 2026, 1:38 p.m.