Triple
T14487272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limnio wine |
E359263
|
entity |
| Predicate | cultivationType |
P114419
|
FINISHED |
| Object | single-varietal wine |
—
|
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: single-varietal wine | Statement: [Limnio wine, cultivationType, single-varietal wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultivationType Context triple: [Limnio wine, cultivationType, single-varietal wine]
-
A.
isCultivatedAs
Indicates that one entity is intentionally grown, tended, or produced by another as a crop, resource, or cultivated organism.
-
B.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
-
C.
cultivatedSpecies
Indicates that one entity is a species that is intentionally grown or cultivated by another entity.
-
D.
cultivationScale
Indicates the relative size or extent of cultivation applied to something, such as how intensively or broadly it is being cultivated.
-
E.
cultivatedFormOf
Indicates that one entity is a domesticated or cultivated variant derived from another, typically wild, entity.
- F. None of above. chosen
Provenance (4 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:20 a.m.