Triple
T2419570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vevey |
E52386
|
entity |
| Predicate | FêteDesVigneronsFrequency |
P38437
|
FINISHED |
| Object | about every 20 to 25 years |
—
|
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: about every 20 to 25 years | Statement: [Vevey, FêteDesVigneronsFrequency, about every 20 to 25 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FêteDesVigneronsFrequency Context triple: [Vevey, FêteDesVigneronsFrequency, about every 20 to 25 years]
-
A.
BeaujolaisNouveauRelease
Indicates the event or action of releasing Beaujolais Nouveau wine to the market or public.
-
B.
festivalSeason
Indicates that a time period is designated or recognized as the season during which a particular festival or set of festivals takes place.
-
C.
vineyardAreaRankInFrance
Indicates the relative position of an entity’s vineyard area compared to other vineyard areas within France, ordered by size.
-
D.
nationalWineTradition
Indicates that a country or region has an established cultural and historical practice of producing, consuming, and valuing wine.
-
E.
wineTourism
Indicates a relationship where tourism activities are specifically centered around visiting wine-producing regions, wineries, and related wine experiences.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69abc5a889948190b77de4ef6ac815a8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc9f1ba608190b488874bed3533dd |
completed | March 7, 2026, 6:47 a.m. |
Created at: March 6, 2026, 9:42 p.m.