Triple
T15896756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Como San Giovanni railway station |
E385476
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Chiasso |
E263461
|
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: Chiasso | Statement: [Como San Giovanni railway station, locatedNear, Chiasso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiasso Context triple: [Como San Giovanni railway station, locatedNear, Chiasso]
-
A.
Chiasso
chosen
Chiasso is a Swiss border town in the canton of Ticino, known as an important rail and road transit point between Switzerland and Italy.
-
B.
Cernobbio
Cernobbio is a picturesque town in northern Italy known for its lakeside villas and scenic location on the shores of Lake Como.
-
C.
Mergozzo
Mergozzo is a small Italian lakeside town in the Piedmont region, known for its scenic Lake Mergozzo and proximity to the Alps.
-
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.
Sorengo
Sorengo is a small municipality in the canton of Ticino in southern Switzerland, located near Lugano.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15639c9748190b1115f74cbd61330 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04b55ec8190a5b3513b2afa4f83 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.