Triple
T12383379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ticino River |
E295796
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Bellinzona |
E296324
|
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: Bellinzona | Statement: [Ticino River, flowsNear, Bellinzona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellinzona Context triple: [Ticino River, flowsNear, 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.
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.
-
D.
Lugano
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.
-
E.
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.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac78c5c81909fb3d63bc6c9cc01 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.