Triple
T8339201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trévélez |
E195866
|
entity |
| Predicate | hamCuringMethod |
P40977
|
FINISHED |
| Object | natural air-drying |
—
|
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: natural air-drying | Statement: [Trévélez, hamCuringMethod, natural air-drying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hamCuringMethod Context triple: [Trévélez, hamCuringMethod, natural air-drying]
-
A.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
-
B.
smokedOver
Indicates that one entity smoked (used tobacco or similar substances) for a duration exceeding a specified time or threshold.
-
C.
isBrined
Indicates that something has been soaked or preserved in a saltwater solution (brine).
-
D.
meatPreparation
chosen
Indicates the method or process by which meat is treated, cooked, or otherwise prepared for consumption.
-
E.
hasSmokehouse
Indicates that one entity possesses, contains, or includes a smokehouse as part of its facilities or properties.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.