Triple
T10181463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadenabbia |
E236793
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tremezzo |
E40391
|
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: Tremezzo | Statement: [Cadenabbia, locatedNear, Tremezzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tremezzo Context triple: [Cadenabbia, locatedNear, Tremezzo]
-
A.
Tremezzo
chosen
Tremezzo is a picturesque lakeside town in northern Italy’s Lombardy region, renowned for its historic villas, gardens, and scenic views over Lake Como.
-
B.
Pandino
Pandino is a small Italian town in the Lombardy region, known for its historic Visconti castle and agricultural surroundings.
-
C.
Peccioli
Peccioli is a historic hilltop town in Tuscany, Italy, known for its medieval architecture, cultural initiatives, and innovative waste-to-energy and contemporary art projects.
-
D.
Vimercate
Vimercate is a town in the Lombardy region of northern Italy, located near Milan and known for its historical center and role as a local economic hub.
-
E.
Varenna
Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded32b91c8190b01ad37b2456080a |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d32ad838b08190ab8c50a4108bba68 |
completed | April 6, 2026, 3:39 a.m. |
Created at: March 30, 2026, 9:11 p.m.