Triple
T17646247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanko Soba |
E429365
|
entity |
| Predicate | typicalPortionPerBowl |
P128377
|
FINISHED |
| Object | small mouthful |
—
|
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: small mouthful | Statement: [Wanko Soba, typicalPortionPerBowl, small mouthful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPortionPerBowl Context triple: [Wanko Soba, typicalPortionPerBowl, small mouthful]
-
A.
typicalIngredientRatio
Indicates the usual proportional relationship between different ingredients used together in a preparation or mixture.
-
B.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
C.
servesDish
Indicates that one entity prepares and presents a specific dish as food for another entity.
-
D.
numberOfEntremeses
Indicates the quantity or count of entremeses (short theatrical pieces) associated with a given entity or event.
-
E.
servesSide
Indicates that one entity is provided or presented as an accompanying side item to another primary entity.
- F. None of above. chosen
Provenance (4 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e39937881909bb6a1792fff39a9 |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 6:04 a.m.