Triple
T35302571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RW (Rintek Wuuk) |
E1019542
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Minahasan cuisine |
C63496
|
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: Minahasan cuisine Context triple: [RW (Rintek Wuuk), instanceOf, Minahasan cuisine]
-
A.
Minahasan dish
chosen
A Minahasan dish is a traditional food preparation originating from the Minahasa region of North Sulawesi, Indonesia, characterized by bold, spicy flavors and the frequent use of local herbs, chilies, and coconut-based ingredients.
-
B.
Minahasan language
The Minahasan language is an Austronesian language (or group of closely related dialects) traditionally spoken by the Minahasan people of North Sulawesi, Indonesia, characterized by complex verbal morphology and significant influence from Malay/Indonesian.
-
C.
Singaporean cuisine
Singaporean cuisine is a vibrant fusion of Chinese, Malay, Indian, Peranakan, and other culinary traditions, characterized by bold flavors, diverse street food, and a strong emphasis on communal dining.
-
D.
Philippine cuisine
Philippine cuisine is a diverse culinary tradition that blends indigenous, Malay, Chinese, Spanish, and American influences, characterized by bold sour, salty, and savory flavors, rice-based staples, and regional specialties using abundant local ingredients.
-
E.
Nasi
Nasi is a conceptual class representing a rice-based dish, typically cooked or prepared in various styles and often serving as a staple or central component of a meal in many cuisines.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:03 p.m.