Triple
T28847883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morioka reimen |
E728503
|
entity |
| Predicate | typicalFlavoring |
P2068
|
FINISHED |
| Object | soy sauce |
—
|
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: soy sauce | Statement: [Morioka reimen, typicalFlavoring, soy sauce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFlavoring Context triple: [Morioka reimen, typicalFlavoring, soy sauce]
-
A.
typicalFlavor
chosen
Indicates that something characteristically has or is associated with a particular flavor.
-
B.
typicalFrosting
Indicates that something is the standard or commonly used type of frosting associated with a particular item or context.
-
C.
frostingFlavor
Indicates the specific flavor associated with a cake’s frosting in the relationship.
-
D.
isFlavored
Indicates that one entity imparts a particular taste or flavor characteristic to another entity.
-
E.
typicalSpices
Indicates that certain spices are commonly or characteristically used in association with a particular dish, cuisine, or ingredient.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a01295195748190b896d99c3d1f6134 |
completed | May 11, 2026, 12:56 a.m. |
| PD | Predicate disambiguation | batch_6a0128fe96dc8190a73715ab08752dd1 |
completed | May 11, 2026, 12:55 a.m. |
Created at: April 28, 2026, 6:43 a.m.