Triple
T29834175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergerac AOC |
E757609
|
entity |
| Predicate | typicalRedStyle |
P203978
|
FINISHED |
| Object | Merlot-dominant 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: Merlot-dominant blends | Statement: [Bergerac AOC, typicalRedStyle, Merlot-dominant blends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRedStyle Context triple: [Bergerac AOC, typicalRedStyle, Merlot-dominant blends]
-
A.
typicalRedStyleDescriptor
Indicates that something is described as having the characteristic or stylistic qualities typically associated with the color red.
-
B.
typicalStyleRed
Indicates that something commonly or characteristically has a red style or appearance.
-
C.
typicalRedProfile
Indicates that an entity exhibits a characteristic or standard pattern commonly associated with the color red.
-
D.
styleRed
Indicates that an entity has a red visual style or is presented using a red-themed appearance.
-
E.
typicalVisualStyle
Indicates the characteristic or commonly observed visual appearance or aesthetic style associated with an 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a0303622ce08190b359c9d247268729 |
completed | May 12, 2026, 10:39 a.m. |
| PD | Predicate disambiguation | batch_6a03030c02fc81908e546dba291b1240 |
completed | May 12, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_6a03036152e4819082881a9f59919e1b |
completed | May 12, 2026, 10:39 a.m. |
Created at: April 29, 2026, 5:36 p.m.