Triple
T32135488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ShishKebab |
E820754
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Middle Eastern food |
C8604
|
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: Middle Eastern food Context triple: [ShishKebab, instanceOf, Middle Eastern food]
-
A.
Middle Eastern dish
chosen
A Middle Eastern dish is a prepared food item originating from the Middle East, typically featuring ingredients like grains, legumes, vegetables, meats, and aromatic spices that reflect the region’s culinary traditions.
-
B.
Middle Eastern dish
A Middle Eastern dish is a prepared food item originating from the Middle East, typically featuring ingredients like grains, legumes, vegetables, meats, and aromatic spices characteristic of the region’s culinary traditions.
-
C.
Arab
An Arab is a person who identifies with the Arab world through shared linguistic, cultural, and often historical ties, typically associated with Arabic as a primary language and origins in the Middle East and North Africa.
-
D.
Pakistani cuisine
Pakistani cuisine is a rich and diverse culinary tradition characterized by aromatic spices, hearty meat and lentil dishes, varied regional specialties, and influences from Central Asian, Middle Eastern, and South Asian flavors.
-
E.
Mediterranean restaurant
A Mediterranean restaurant is a dining establishment that specializes in cuisine from countries bordering the Mediterranean Sea, typically featuring dishes made with olive oil, fresh vegetables, grains, legumes, seafood, and aromatic herbs and spices.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:30 a.m.