Triple
T20276841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affi |
E503037
|
entity |
| Predicate | isLocatedNear |
P350
|
FINISHED |
| Object | Cavaion Veronese |
—
|
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: Cavaion Veronese | Statement: [Affi, isLocatedNear, Cavaion Veronese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavaion Veronese Context triple: [Affi, isLocatedNear, Cavaion Veronese]
-
A.
Cavaion Veronese
chosen
Cavaion Veronese is a small municipality in the Veneto region of northern Italy, near Lake Garda, known for its wine production and scenic countryside.
-
B.
Verbanesi
Verbanesi are the inhabitants or natives of Verbania, a city in the Piedmont region of northern Italy on the shores of Lake Maggiore.
-
C.
Bovolone
Bovolone is a town in northern Italy’s Veneto region, notable for archaeological remains linked to the ancient Este culture.
-
D.
Bassano del Grappa
Bassano del Grappa is a historic town in northeastern Italy, renowned for its wooden Ponte degli Alpini bridge, grappa production, and scenic setting at the foothills of the Alps.
-
E.
Caerano di San Marco
Caerano di San Marco is a municipality in the Veneto region of northern Italy, known for its role in the local footwear and sportswear industry.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e3df68819096fb859bc92a0da1 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 16, 2026, 10:35 a.m.