Triple
T34321262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitakata ramen |
E880739
|
entity |
| Predicate | usesNoodleTechnique |
P91365
|
FINISHED |
| Object | high hydration dough |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: high hydration dough | Statement: [Kitakata ramen, usesNoodleTechnique, high hydration dough]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNoodleTechnique Context triple: [Kitakata ramen, usesNoodleTechnique, high hydration dough]
-
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.
usesCookingMethod
Indicates that one entity prepares or processes another entity by applying a specific cooking technique or method.
-
D.
typicalNoodleDonenessOptions
Indicates the usual or standard levels of doneness that noodles are commonly cooked to.
-
E.
usesKakaliNishada
Indicates that one entity employs or incorporates the specific musical element or note known as Kakali Nishada in relation to another entity or context.
- F. None of above.
Provenance (3 batches)
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. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.