Triple
T19418132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornish clotted cream |
E485773
|
entity |
| Predicate | usedWithFood |
P4791
|
FINISHED |
| Object | scones |
—
|
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: scones | Statement: [Cornish clotted cream, usedWithFood, scones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedWithFood Context triple: [Cornish clotted cream, usedWithFood, scones]
-
A.
usesFood
Indicates that one entity employs or consumes a food item as a resource, ingredient, or means to achieve some purpose.
-
B.
eatenWithUtensil
Indicates that something was eaten using a specific utensil as the means of consumption.
-
C.
usedWith
chosen
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
D.
culinaryUse
Indicates that one entity is used in the preparation, flavoring, or serving of food or drink for another entity.
-
E.
usedAsFood
Indicates that one entity is consumed or intended to be consumed as food by another entity.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afad8d881908f1de6324e55d2f6 |
completed | April 20, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.