Triple
T34890384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langhirano |
E1006265
|
entity |
| Predicate | climateInfluences |
P3009
|
FINISHED |
| Object | curing of Parma ham |
—
|
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: curing of Parma ham | Statement: [Langhirano, climateInfluences, curing of Parma ham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climateInfluences Context triple: [Langhirano, climateInfluences, curing of Parma ham]
-
A.
hasClimateInfluence
chosen
Indicates that one entity affects or contributes to the climate characteristics or climate-related conditions of another entity.
-
B.
climateDependent
Indicates that the existence, behavior, or outcome of something is determined or significantly influenced by climatic conditions.
-
C.
climateDriver
Indicates a factor or process that significantly influences or drives changes in climate conditions.
-
D.
climateIndicator
Indicates that something serves as a measure or signal of the state, change, or impact of climate-related conditions.
-
E.
climateBetween
Indicates that something (such as a location, period, or condition) has a climate that lies within a specified range or intermediate state between two other climatic conditions.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.