Triple
T11782362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Lakes wine region |
E280180
|
entity |
| Predicate | grapeGrowingChallenge |
P17894
|
FINISHED |
| Object | winter cold |
—
|
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: winter cold | Statement: [Great Lakes wine region, grapeGrowingChallenge, winter cold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeGrowingChallenge Context triple: [Great Lakes wine region, grapeGrowingChallenge, winter cold]
-
A.
viticulturalChallenge
chosen
Indicates a relationship where one party faces or presents a difficulty, problem, or obstacle specifically related to grape growing or vineyard management.
-
B.
grapeGrowingInfluence
Indicates how various factors affect or shape the process and outcomes of growing grapes.
-
C.
grapeCondition
Indicates the state or quality of a grape, such as its health, ripeness, or any notable physical condition.
-
D.
grapeSource
Indicates that one entity is the origin or provider of grapes used by another entity.
-
E.
grapeFamily
Indicates that one entity belongs to, or is classified within, the same botanical family as grapes.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a8c2e8b08190a31b1e284fca2aee |
completed | April 10, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69d8a242cd8c819086ed6c5f292dc8cb |
completed | April 10, 2026, 7:09 a.m. |
Created at: April 8, 2026, 9:42 p.m.