Triple
T21439283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coburg bratwurst |
E528894
|
entity |
| Predicate | grillingMethod |
P56153
|
FINISHED |
| Object | woodFire |
—
|
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: woodFire | Statement: [Coburg bratwurst, grillingMethod, woodFire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grillingMethod Context triple: [Coburg bratwurst, grillingMethod, woodFire]
-
A.
grillFuel
Indicates that a specified fuel source is used to power or operate a grill.
-
B.
usesCookingMethod
Indicates that one entity prepares or processes another entity by applying a specific cooking technique or method.
-
C.
heatingMethod
chosen
Indicates the method or technique used to apply heat to something, such as for cooking, warming, or processing.
-
D.
meatPreparation
Indicates the method or process by which meat is treated, cooked, or otherwise prepared for consumption.
-
E.
fryCook
Indicates that one entity works as a cook who prepares food by frying, typically in a restaurant or similar setting, for another entity (such as an employer or establishment).
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b6feb2e48190ba5649f16a8bbbda |
completed | April 22, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 6:04 p.m.