Triple
T17691091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Zebrù |
E441027
|
entity |
| Predicate | isVisibleFrom |
P854
|
FINISHED |
| Object | Val Venosta |
—
|
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: Val Venosta | Statement: [Gran Zebrù, isVisibleFrom, Val Venosta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Venosta Context triple: [Gran Zebrù, isVisibleFrom, Val Venosta]
-
A.
Val Venosta
chosen
Val Venosta is a valley in South Tyrol in northern Italy, known for its alpine landscapes, apple orchards, and mix of Italian and German-speaking culture.
-
B.
Val Masino
Val Masino is a scenic alpine valley in northern Italy renowned for its granite peaks, hiking and climbing routes, and natural hot springs.
-
C.
Valchiavennasco
Valchiavennasco is a regional variety of the Lombard language spoken in the Valchiavenna area of northern Italy.
-
D.
Bordigotti
Bordigotti are the inhabitants or natives of the Italian coastal town of Bordighera, typically referring to its local people and community.
-
E.
Montenars
Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4704b43a88190ba29654ca695839e |
completed | April 19, 2026, 6:03 a.m. |
Created at: April 10, 2026, 10:03 a.m.