Triple
T4045399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuremberg bratwurst |
E84052
|
entity |
| Predicate | typicalSpiceProfile |
P44787
|
FINISHED |
| Object | marjoram-forward |
—
|
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: marjoram-forward | Statement: [Nuremberg bratwurst, typicalSpiceProfile, marjoram-forward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSpiceProfile Context triple: [Nuremberg bratwurst, typicalSpiceProfile, marjoram-forward]
-
A.
hasSpice
chosen
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
-
B.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
C.
hasSpiciness
Indicates that one entity possesses a certain level or quality of spiciness in relation to another entity or a defined scale.
-
D.
typicalProfile
Indicates that an entity represents the standard or most representative profile or pattern for another entity.
-
E.
typicalRedProfile
Indicates that an entity exhibits a characteristic or standard pattern commonly associated with the color red.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5f85d48190ba80a0a24fbe438a |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.