Triple
T16164950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arogno |
E392278
|
entity |
| Predicate | roadAccessTo |
P22549
|
FINISHED |
| Object | Lugano |
E178117
|
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: Lugano | Statement: [Arogno, roadAccessTo, Lugano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lugano Context triple: [Arogno, roadAccessTo, Lugano]
-
A.
Lugano
chosen
Lugano is a picturesque Swiss city in the Italian-speaking canton of Ticino, known for its lakeside setting on Lake Lugano, surrounding mountains, and role as a regional financial and cultural center.
-
B.
Chur
Chur is the oldest town in Switzerland and the capital of the canton of Graubünden, known for its historic old town and role as a gateway to the Alps.
-
C.
Chiasso
Chiasso is a Swiss border town in the canton of Ticino, known as an important rail and road transit point between Switzerland and Italy.
-
D.
Olten
Olten is a town in the canton of Solothurn in northwestern Switzerland, known as an important railway junction and regional economic center.
-
E.
Montreux
Montreux is a picturesque resort town in southwestern Switzerland, renowned for its lakeside promenade, mild microclimate, and the annual Montreux Jazz Festival.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e622ae481909f3cf25b38886d3a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005809cbf08190b35f2c820793163c |
completed | May 10, 2026, 10:03 a.m. |
Created at: April 10, 2026, 5:02 a.m.