Triple
T32212155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AdanaKebab |
E822836
|
entity |
| Predicate | cookingAppliance |
P173840
|
FINISHED |
| Object | mangal |
—
|
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: mangal | Statement: [AdanaKebab, cookingAppliance, mangal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cookingAppliance Context triple: [AdanaKebab, cookingAppliance, mangal]
-
A.
cookingSurface
Indicates that one entity serves as the surface or area on which another entity is used for cooking.
-
B.
heatingMethod
Indicates the method or technique used to apply heat to something, such as for cooking, warming, or processing.
-
C.
hasGasCooker
Indicates that an entity is equipped with or contains a gas-powered cooking appliance.
-
D.
dishType
Indicates the classification of a dish according to its culinary category or role (e.g., appetizer, main course, dessert).
-
E.
cookingFuel
Indicates that one entity serves as the fuel or energy source used by another entity for cooking activities.
- F. None of above. chosen
Provenance (4 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb9412e8819091bd6ee4a29257b7 |
completed | May 3, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:37 a.m.