Triple
T10387471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel’s Diner |
E244799
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | diner |
C8746
|
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: diner Context triple: [Mel’s Diner, instanceOf, diner]
-
A.
dining location
chosen
A dining location is a place where people can sit and consume food and beverages, typically prepared and served on-site.
-
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.
bistro
A bistro is a small, informal restaurant offering simple, moderately priced meals and drinks in a relaxed, often cozy setting.
-
D.
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.
-
E.
dish
A dish is a shallow, typically concave container used for holding, serving, or preparing food.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
Created at: April 6, 2026, 12:05 p.m.