Triple
T25909870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serabi |
E652862
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Indonesian traditional food |
C21001
|
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: Indonesian traditional food Context triple: [Serabi, instanceOf, Indonesian traditional food]
-
A.
traditional Indonesian food
chosen
Traditional Indonesian food encompasses a diverse array of regionally distinct dishes characterized by rich spices, coconut-based sauces, fermented ingredients, and rice as a staple, reflecting the archipelago’s cultural and historical influences.
-
B.
Vietnamese traditional food
Vietnamese traditional food encompasses a diverse array of regionally inspired dishes characterized by fresh herbs, balanced flavors, and harmonious combinations of textures, often reflecting cultural rituals and local ingredients.
-
C.
Indonesian culture
Indonesian culture is a rich, diverse tapestry of traditions, languages, religions, arts, and social practices shaped by centuries of indigenous heritage and global influences across its many islands.
-
D.
Indonesian word
An Indonesian word is a basic linguistic unit in the Indonesian language that carries meaning and can function independently or as part of larger expressions in communication.
-
E.
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.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 22, 2026, 8:28 a.m.