Triple
T14626447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trentino |
E343360
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Pergine Valsugana |
E727333
|
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: Pergine Valsugana | Statement: [Trentino, hasCity, Pergine Valsugana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pergine Valsugana Context triple: [Trentino, hasCity, Pergine Valsugana]
-
A.
Ampezzo
Ampezzo is a town in the Dolomite region of northern Italy known for its Ladin cultural and linguistic heritage.
-
B.
Ortisei
Ortisei is a picturesque alpine town in northern Italy’s Dolomites, renowned for its skiing, woodcarving tradition, and role as a major tourist hub in Val Gardena.
-
C.
Borgo Valsugana
chosen
Borgo Valsugana is a small town in the Trentino region of northern Italy, known for its historic center along the Brenta River and its association with statesman Alcide De Gasperi.
-
D.
Gardone Val Trompia
Gardone Val Trompia is a town in the province of Brescia in northern Italy, historically renowned as a major center of firearms manufacturing.
-
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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46a4a9081908472b0a542028a7f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92a6b9c8190bdb220444cfbe34a |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.