Triple
T26372632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey Royal potatoes |
E660811
|
entity |
| Predicate | bestCookingMethod |
P14777
|
FINISHED |
| Object | steaming |
—
|
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: steaming | Statement: [Jersey Royal potatoes, bestCookingMethod, steaming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestCookingMethod Context triple: [Jersey Royal potatoes, bestCookingMethod, steaming]
-
A.
usesCookingMethod
chosen
Indicates that one entity prepares or processes another entity by applying a specific cooking technique or method.
-
B.
commonPreparationMethod
Indicates that two or more items share the same typical way of being prepared or processed.
-
C.
heatingMethod
Indicates the method or technique used to apply heat to something, such as for cooking, warming, or processing.
-
D.
isUsuallyCookedIn
Indicates that something is most commonly or typically prepared or cooked within a particular container, appliance, or environment.
-
E.
foodPreparationStyle
Indicates the manner or method by which food is prepared, cooked, or processed.
- 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_69ee812a698881908d6a58265995fa39 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f610310d7c8190a14a7f7aa377846a |
completed | May 2, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:59 p.m.