Triple
T27907928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de la Marne wine region |
E705838
|
entity |
| Predicate | grapeRipeningAdvantage |
P88645
|
FINISHED |
| Object | Pinot Meunier ripens reliably in cooler sites |
—
|
NE NERFINISHED |
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: Pinot Meunier ripens reliably in cooler sites | Statement: [Vallée de la Marne wine region, grapeRipeningAdvantage, Pinot Meunier ripens reliably in cooler sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grapeRipeningAdvantage Context triple: [Vallée de la Marne wine region, grapeRipeningAdvantage, Pinot Meunier ripens reliably in cooler sites]
-
A.
grapeGrowingInfluence
Indicates how various factors affect or shape the process and outcomes of growing grapes.
-
B.
grapeCondition
chosen
Indicates the state or quality of a grape, such as its health, ripeness, or any notable physical condition.
-
C.
grapePlantingShare
Indicates the proportion or share of grape planting activity attributed to or carried out by a particular entity relative to a larger whole.
-
D.
grapeProduct
Indicates that one entity is a product derived from or made using grapes.
-
E.
grapeSourceFlexibility
Indicates that the source or origin of grapes involved in a relationship or process can vary or be chosen flexibly rather than being fixed.
- 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_69ef96b5aad08190be36a277c31e7004 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 6:47 p.m.