Triple
T30894813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont let saung |
E786992
|
entity |
| Predicate | usesTopping |
P12771
|
FINISHED |
| Object | coconut milk |
—
|
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: coconut milk | Statement: [Mont let saung, usesTopping, coconut milk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTopping Context triple: [Mont let saung, usesTopping, coconut milk]
-
A.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
B.
isToppedWith
Indicates that one entity serves as a topping placed on the surface of another entity.
-
C.
textureOfTopping
Indicates the specific surface quality or mouthfeel characteristic of a topping in relation to the item it is applied to.
-
D.
usesIngredient
chosen
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
-
E.
toppingPreparationMethod
Indicates the method or process used to prepare a topping before it is applied or served.
- 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 29, 2026, 8:49 p.m.