Triple
T6792768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verbano-Cusio-Ossola |
E155972
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Baveno |
E233098
|
NE 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: Baveno | Statement: [Verbano-Cusio-Ossola, contains, Baveno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baveno Context triple: [Verbano-Cusio-Ossola, contains, Baveno]
-
A.
Baveno
chosen
Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
-
B.
Ascona
Ascona is a picturesque resort town on the shores of Lake Maggiore in the Swiss canton of Ticino, known for its mild climate, lakeside promenade, and vibrant cultural scene.
-
C.
Varenna
Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
-
D.
Menaggio
Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
-
E.
Cernobbio
Cernobbio is a picturesque town in northern Italy known for its lakeside villas and scenic location on the shores of Lake Como.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2af6f908190809e39b73894e513 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723cf2540819099b5bae43453aa92 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:15 p.m.