Triple
T32706327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tenmusu |
E836280
|
entity |
| Predicate | isMadeWithRiceType |
P50956
|
FINISHED |
| Object | Japanese short-grain rice |
—
|
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: Japanese short-grain rice | Statement: [tenmusu, isMadeWithRiceType, Japanese short-grain rice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMadeWithRiceType Context triple: [tenmusu, isMadeWithRiceType, Japanese short-grain rice]
-
A.
riceType
chosen
Indicates the specific variety or classification of rice associated with an entity.
-
B.
noodleType
Indicates the specific kind or category of noodle associated with an entity.
-
C.
numberOfRiceStalks
Indicates the quantity or count of rice stalks associated with a given entity or context.
-
D.
CRSRiceBowlType
Indicates that there is a specific type or category relationship between a rice bowl and its classification.
-
E.
containsNoodles
Indicates that one entity (typically a dish or food item) includes noodles as one of its components.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c851d2488190a93924bca6b167d1 |
completed | May 3, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:10 a.m.