Triple
T19514640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Côte Blonde |
E488245
|
entity |
| Predicate | blendPractice |
P136194
|
FINISHED |
| Object | often blended with a small proportion of Viognier |
—
|
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: often blended with a small proportion of Viognier | Statement: [Côte Blonde, blendPractice, often blended with a small proportion of Viognier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blendPractice Context triple: [Côte Blonde, blendPractice, often blended with a small proportion of Viognier]
-
A.
musicPractice
Indicates engaging in the activity of practicing or rehearsing music, typically to improve skill or prepare for performance.
-
B.
practicedWith
Indicates that one entity engaged in practice or training together with another entity.
-
C.
artisticDuoPractice
Indicates a practice or rehearsal activity carried out collaboratively by two artists working together as a duo.
-
D.
practicedUnder
Indicates that one entity gained experience or training while working under the guidance, supervision, or mentorship of another entity.
-
E.
mentionsPractice
Indicates that one entity refers to, discusses, or brings up a particular practice in some form of communication.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359a7070819099d925447c80bf23 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004d3a708190a1c13c8f644f3926 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.