Triple
T15427052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turin–Cuneo railway |
E369537
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Savigliano |
E132227
|
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: Savigliano | Statement: [Turin–Cuneo railway, passesThrough, Savigliano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savigliano Context triple: [Turin–Cuneo railway, passesThrough, Savigliano]
-
A.
Savigliano
chosen
Savigliano is a historic town in the Piedmont region of northwestern Italy, known for its medieval architecture and role in the history of the House of Savoy.
-
B.
Viareggini
Viareggini are the inhabitants of Viareggio, a Tuscan coastal city in Italy renowned for its beaches and famous Carnival.
-
C.
Gaggiano
Gaggiano is a small municipality in the Lombardy region of northern Italy, located near Milan and known for its historic canals and rural surroundings.
-
D.
Rosciano
Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
-
E.
Sant'Ilario d'Enza
Sant'Ilario d'Enza is a municipality in northern Italy known for its location between Parma and Reggio Emilia in the Emilia-Romagna region.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec1fb288190a3625b8e4f487dd1 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755ffbdc8190825010885e68ebc3 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 3:20 a.m.