Triple
T18387742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscat d’Alsace |
E446635
|
entity |
| Predicate | originRegionStyle |
P18328
|
FINISHED |
| Object | Alsace aromatic white wine style |
—
|
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: Alsace aromatic white wine style | Statement: [Muscat d’Alsace, originRegionStyle, Alsace aromatic white wine style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originRegionStyle Context triple: [Muscat d’Alsace, originRegionStyle, Alsace aromatic white wine style]
-
A.
notableStyleRegion
chosen
Indicates that a particular style, manner, or artistic approach is especially characteristic of or prominent within a specific geographic region.
-
B.
hasSubregionStyle
Indicates a stylistic relationship in which one region exhibits a specific style that is characteristic of a subregion within it.
-
C.
usesRegionalStyle
Indicates that one entity employs or applies a style, method, or convention characteristic of a particular geographic region in relation to another entity or context.
-
D.
sourceRegion
Indicates the geographic or spatial region from which something originates or is derived.
-
E.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.