Triple
T1624303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eccles cake |
E35102
|
entity |
| Predicate | bakingMethod |
P14777
|
FINISHED |
| Object | baked in an oven |
—
|
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: baked in an oven | Statement: [Eccles cake, bakingMethod, baked in an oven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bakingMethod Context triple: [Eccles cake, bakingMethod, baked in an oven]
-
A.
usesCookingMethod
chosen
Indicates that one entity prepares or processes another entity by applying a specific cooking technique or method.
-
B.
BakerYield
Indicates the amount or output produced by a baker, typically in terms of quantity or volume of baked goods resulting from a given process or batch.
-
C.
doughType
Indicates the specific kind or category of dough used or associated with an item or preparation.
-
D.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
-
E.
breadType
Indicates the specific kind or category of bread associated with an 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9431af5ac8190893133f1ae490142 |
completed | March 5, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69a907c91c888190b6ed295c1a2e0977 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.