Triple
T18467443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aosta railway station |
E451200
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object | AOSTA |
—
|
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: AOSTA | Statement: [Aosta railway station, railwayStationCode, AOSTA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AOSTA Context triple: [Aosta railway station, railwayStationCode, AOSTA]
-
A.
Aosta
chosen
Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
-
B.
Baveno
Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
-
C.
Oulx
Oulx is a mountain town in Italy’s Piedmont region, known as a key gateway to the Susa Valley and nearby Alpine ski resorts.
-
D.
Ascona
Ascona is a picturesque resort town on the shores of Lake Maggiore in the Swiss canton of Ticino, known for its mild climate, lakeside promenade, and vibrant cultural scene.
-
E.
Val di Susa
Val di Susa is a valley in the Piedmont region of northwestern Italy, known for its Alpine landscapes, medieval fortifications, and strategic route connecting Italy to France.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a8459f88190a54cae4c8cb05119 |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:34 a.m.