Triple
T13987391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semi-Homemade Cooking |
E336475
|
entity |
| Predicate | cookingApproach |
P73154
|
FINISHED |
| Object | combines pre-packaged foods with fresh ingredients |
—
|
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: combines pre-packaged foods with fresh ingredients | Statement: [Semi-Homemade Cooking, cookingApproach, combines pre-packaged foods with fresh ingredients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cookingApproach Context triple: [Semi-Homemade Cooking, cookingApproach, combines pre-packaged foods with fresh ingredients]
-
A.
foodPreparationStyle
chosen
Indicates the manner or method by which food is prepared, cooked, or processed.
-
B.
usesCookingMethod
Indicates that one entity prepares or processes another entity by applying a specific cooking technique or method.
-
C.
commonPreparationMethod
Indicates that two or more items share the same typical way of being prepared or processed.
-
D.
seasoningStyle
Indicates the characteristic way in which an item is flavored or seasoned, such as the method, intensity, or cultural style of its seasoning.
-
E.
cuisine
Indicates the type or style of food traditionally associated with or served by an entity (such as a restaurant or region).
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea537408190bb9d35963886803f |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.