Triple
T18360366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gargnano |
E439897
|
entity |
| Predicate | bordersWith |
P224
|
FINISHED |
| Object | Malcesine |
—
|
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: Malcesine | Statement: [Gargnano, bordersWith, Malcesine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcesine Context triple: [Gargnano, bordersWith, Malcesine]
-
A.
Malcesine
chosen
Malcesine is a picturesque medieval town in northern Italy known for its lakeside setting on Lake Garda, historic Scaliger castle, and access to Monte Baldo via cable car.
-
B.
Possagno
Possagno is a small town in the Veneto region of northern Italy, best known as the birthplace of the renowned Neoclassical sculptor Antonio Canova.
-
C.
Val Gardena
Val Gardena is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and Ladin-speaking communities.
-
D.
Dobbiaco
Dobbiaco is a picturesque alpine town in northern Italy’s South Tyrol region, known as a gateway to the Dolomites and a popular destination for hiking, skiing, and cross-country skiing.
-
E.
Varenna
Varenna is a picturesque historic village in northern Italy known for its colorful lakeside houses, romantic promenades, and scenic views over Lake Como.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516db045c8190b20c209225a53b9a |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.