Triple
T18363733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avisio |
E439985
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Val di Fassa |
—
|
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 di Fassa | Statement: [Avisio, flowsThrough, Val di Fassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val di Fassa Context triple: [Avisio, flowsThrough, Val di Fassa]
-
A.
Val di Fassa
chosen
Val di Fassa is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and hiking opportunities.
-
B.
Val di Fiemme
Val di Fiemme is an alpine valley in northeastern Italy renowned for its ski resorts, cross-country skiing events, and scenic landscapes within the Dolomites.
-
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.
Val di Non
Val di Non is a valley in northern Italy’s Trentino region, renowned for its apple orchards, scenic alpine landscapes, and historic castles.
-
E.
Arzerello
Arzerello is a locality or frazione within the municipality of Piove di Sacco in the Veneto region of northern 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516de778c8190a75335ced4e1f834 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.