Triple
T19058495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle Isarco |
E466459
|
entity |
| Predicate | producesGrapeVariety |
P28269
|
FINISHED |
| Object | Kerner |
—
|
NE NERFINISHED |
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: Kerner | Statement: [Valle Isarco, producesGrapeVariety, Kerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerner Context triple: [Valle Isarco, producesGrapeVariety, Kerner]
-
A.
Kerner
chosen
Kerner is a German-language surname borne by various notable individuals in politics, arts, and other fields.
-
B.
Kerns
Kerns is a mixed residential and commercial neighborhood in inner east Portland, Oregon, known for its historic homes, local eateries, and proximity to downtown.
-
C.
Kerns
Kerns is a surname most notably associated with American actress and television director Joanna Kerns.
-
D.
Kerns
Kerns is a Swiss municipality in the canton of Obwalden known for its rural alpine landscape and traditional Central Swiss character.
-
E.
Kansan
A Kansan is a resident or native of the U.S. state of Kansas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc08572c8190af2f8bcfe9d1616c |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.