Triple
T15054416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpignano |
E379449
|
entity |
| Predicate | railConnectionTo |
P13914
|
FINISHED |
| Object | Bardonecchia |
E31993
|
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: Bardonecchia | Statement: [Alpignano, railConnectionTo, Bardonecchia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bardonecchia Context triple: [Alpignano, railConnectionTo, Bardonecchia]
-
A.
Bardonecchia
chosen
Bardonecchia is an alpine town in northwestern Italy known as a ski resort and transport hub near the French border in the Susa Valley.
-
B.
Cortina d'Ampezzo
Cortina d'Ampezzo is a renowned Italian Alpine resort town in the Dolomites, famous for skiing, mountaineering, and hosting major winter sports events.
-
C.
Sauze d'Oulx
Sauze d'Oulx is a well-known Italian Alpine ski resort village in the Piedmont region, popular for its extensive slopes and lively après-ski scene.
-
D.
Bormio
Bormio is a historic alpine town in northern Italy renowned for its ski resorts, thermal baths, and proximity to major mountain passes in the Stelvio National Park.
-
E.
Val di Fassa
Val di Fassa is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and hiking opportunities.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda92091c81909180f486edf01405 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5bdeee48190949b0fe63eb6a21a |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.