Triple
T29834176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergerac AOC |
E757609
|
entity |
| Predicate | typicalWhiteStyle |
P203983
|
FINISHED |
| Object | Sauvignon-Sémillon blends |
—
|
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: Sauvignon-Sémillon blends | Statement: [Bergerac AOC, typicalWhiteStyle, Sauvignon-Sémillon blends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalWhiteStyle Context triple: [Bergerac AOC, typicalWhiteStyle, Sauvignon-Sémillon blends]
-
A.
typicalWhiteStyleDescriptor
Indicates that something is described as having characteristics commonly associated with a stereotypical white cultural style or aesthetic.
-
B.
styleWhite
Indicates that one entity has a white style, appearance, or coloration in relation to another or within a given context.
-
C.
typicalVisualStyle
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an entity.
-
D.
typicalIceStyle
Indicates that something exhibits the characteristic style, appearance, or behavior typically associated with ice.
-
E.
typicalInteriorAppearance
Indicates the usual or characteristic look and visual qualities of an entity’s interior.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a030425fa1c81908748583513552d2b |
completed | May 12, 2026, 10:42 a.m. |
| PD | Predicate disambiguation | batch_6a0303ced28081908588b8a14c23efe9 |
completed | May 12, 2026, 10:41 a.m. |
| PDg | Predicate description generation | batch_6a030424ef5c8190996818517b3e3d51 |
completed | May 12, 2026, 10:42 a.m. |
Created at: April 29, 2026, 5:36 p.m.