Triple
T4322601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pressac |
E96552
|
entity |
| Predicate | usedInTraditionalWine |
P28269
|
FINISHED |
| Object | Cahors black 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: Cahors black wine | Statement: [Pressac, usedInTraditionalWine, Cahors black wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInTraditionalWine Context triple: [Pressac, usedInTraditionalWine, Cahors black wine]
-
A.
traditionalGrapeVariety
chosen
Indicates that a grape variety is traditionally or historically used in a specific region, wine style, or cultural winemaking practice.
-
B.
usesWineType
Indicates that one entity makes use of, incorporates, or is associated with a particular type or category of wine.
-
C.
primaryGrapeUse
Indicates that a grape variety is primarily used for a particular purpose, such as winemaking, table consumption, or raisin production.
-
D.
oenologicalSignificance
Indicates the relationship in which something holds importance, relevance, or notable impact within the context of wine or winemaking.
-
E.
traditionalVinification
Indicates that a wine is produced using traditional or historically established winemaking methods rather than modern or industrial techniques.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351177eb88190b89fa49a88add5e8 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4bec888190987fc2631498b637 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.