Triple
T23408088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | bibim guksu |
E559988
|
entity |
| Predicate | commonToppings |
P56695
|
FINISHED |
| Object | sesame seeds |
—
|
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: sesame seeds | Statement: [bibim guksu, commonToppings, sesame seeds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonToppings Context triple: [bibim guksu, commonToppings, sesame seeds]
-
A.
isTypicallyGarnishedWith
chosen
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
B.
textureOfTopping
Indicates the specific surface quality or mouthfeel characteristic of a topping in relation to the item it is applied to.
-
C.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
D.
typicalBunType
Indicates the type of bun that is most commonly or characteristically used with a given item (such as a sandwich or burger).
-
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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a50f3f90819084fb682597fee1e1 |
completed | April 29, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:38 p.m.