Triple
T32727069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bresaola della Valtellina |
E836828
|
entity |
| Predicate | curingEnvironment |
P82177
|
FINISHED |
| Object | Alpine climate |
—
|
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: Alpine climate | Statement: [Bresaola della Valtellina, curingEnvironment, Alpine climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curingEnvironment Context triple: [Bresaola della Valtellina, curingEnvironment, Alpine climate]
-
A.
hamCuringEnvironment
chosen
Indicates the specific environmental conditions under which ham is cured, such as temperature, humidity, and airflow, that affect the curing process.
-
B.
environmentClass
Indicates that an entity belongs to, or is categorized within, a particular type or class of environment.
-
C.
builtEnvironment
Indicates that something is part of, related to, or characteristic of human-made physical surroundings such as buildings, infrastructure, and other constructed spaces.
-
D.
environmentalCondition
Indicates the state or characteristics of the surrounding physical environment that affect or describe a situation, process, or entity.
-
E.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8b953348190bc38ddc49fdd7571 |
completed | May 3, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:11 a.m.