Triple
T34321238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitakata ramen |
E880739
|
entity |
| Predicate | hasNoodleTexture |
—
|
GENERATED |
| Object | chewy |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoodleTexture Context triple: [Kitakata ramen, hasNoodleTexture, chewy]
-
A.
containsNoodles
Indicates that one entity (typically a dish or food item) includes noodles as one of its components.
-
B.
noodleType
chosen
Indicates the specific kind or category of noodle associated with an entity.
-
C.
hasRamenStyle
Indicates that an entity is associated with or characterized by a particular style or type of ramen.
-
D.
brothTexture
Indicates the perceived consistency or mouthfeel quality of a broth in a dish.
-
E.
isPastaFilata
Indicates that something is a pasta filata cheese, i.e., a cheese made by heating and stretching the curd in hot water.
- 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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:57 a.m.