Triple
T16972596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de l’Agly |
E411722
|
entity |
| Predicate | hasViticulturalPractice |
P23971
|
FINISHED |
| Object | low-yielding vines |
—
|
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: low-yielding vines | Statement: [Vallée de l’Agly, hasViticulturalPractice, low-yielding vines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViticulturalPractice Context triple: [Vallée de l’Agly, hasViticulturalPractice, low-yielding vines]
-
A.
viticulturePractice
chosen
Indicates a relationship where a specific method, technique, or practice is used in the cultivation and management of grapevines.
-
B.
hasVineyards
Indicates that one entity possesses, contains, or is associated with vineyards used for growing grapevines.
-
C.
hasViticulturalImportance
Indicates that something plays a significant role or has notable relevance in the cultivation and production of grapes for wine.
-
D.
viticulturalUse
Indicates the way in which something is used or applied within the context of viticulture, such as grape growing or vineyard management practices.
-
E.
hasWinemakingFacility
Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ae47f08190a13e98d20aba7f16 |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.