Triple
T38165092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franciacorta |
E953121
|
entity |
| Predicate | firstDOCGYear |
—
|
GENERATED |
| Object | 1995 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDOCGYear Context triple: [Franciacorta, firstDOCGYear, 1995]
-
A.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
-
B.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
C.
firstPartPublicationYear
Indicates the year in which the first part or installment of a multi-part publication was released.
-
D.
firstStandardPublicationYear
Indicates the year in which an entity’s work was first formally published according to a recognized standard or official publication record.
-
E.
firstPassageYear
Indicates the year in which an entity was first recorded as passing through or along a specified route, location, or passage.
- F. None of above. chosen
Provenance (1 batch)
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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.