Triple
T4292434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryndza Podhalańska |
E99625
|
entity |
| Predicate | curdProcessing |
P53129
|
FINISHED |
| Object | ground and kneaded |
—
|
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: ground and kneaded | Statement: [Bryndza Podhalańska, curdProcessing, ground and kneaded]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curdProcessing Context triple: [Bryndza Podhalańska, curdProcessing, ground and kneaded]
-
A.
curdType
Indicates the specific kind or category of curd associated with an entity.
-
B.
milkTreatment
chosen
Indicates that an entity is subjected to a process or method of treating or processing milk.
-
C.
traditionalCheese
Indicates that something is recognized as a cheese made according to established, customary, or historically rooted methods or styles.
-
D.
milkComposition
Indicates the specific nutrients and components that make up a given sample of milk.
-
E.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3508035a08190b752c8edce0aff86 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.