Triple
T19799474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luino |
E475631
|
entity |
| Predicate | railConnectionTo |
P13914
|
FINISHED |
| Object | Bellinzona |
—
|
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: Bellinzona | Statement: [Luino, railConnectionTo, Bellinzona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellinzona Context triple: [Luino, railConnectionTo, Bellinzona]
-
A.
Bellinzona
chosen
Bellinzona is a historic Swiss city in the canton of Ticino, renowned for its three medieval castles that form a UNESCO World Heritage Site.
-
B.
Mergozzo
Mergozzo is a small Italian lakeside town in the Piedmont region, known for its scenic Lake Mergozzo and proximity to the Alps.
-
C.
Bellinzona District
Bellinzona District is an administrative district in the canton of Ticino in southern Switzerland, centered on the city of Bellinzona, the cantonal capital known for its historic castles.
-
D.
Losone
Losone is a municipality in the canton of Ticino in southern Switzerland, located near Lake Maggiore in the Italian-speaking region.
-
E.
Chiavenna
Chiavenna is a historic town in the Lombardy region of northern Italy, known for its alpine setting, medieval architecture, and role as a gateway to important mountain passes.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c930a08190a2263db7170edd71 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.