Triple
T12075710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prosciutto di Parma |
E287541
|
entity |
| Predicate | curingMethod |
P21580
|
FINISHED |
| Object | dry-cured |
—
|
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: dry-cured | Statement: [Prosciutto di Parma, curingMethod, dry-cured]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curingMethod Context triple: [Prosciutto di Parma, curingMethod, dry-cured]
-
A.
curedWith
Indicates that one entity is treated or healed by using another entity as the remedy or therapeutic method.
-
B.
dryingMethod
Indicates the method or process used to dry an object or material.
-
C.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
-
D.
hamCuringEnvironment
Indicates the specific environmental conditions under which ham is cured, such as temperature, humidity, and airflow, that affect the curing process.
-
E.
preservationMethod
chosen
Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.