Triple
T10272738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isarco |
E240877
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Bressanone |
E469258
|
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: Bressanone | Statement: [Isarco, flowsThrough, Bressanone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bressanone Context triple: [Isarco, flowsThrough, Bressanone]
-
A.
Brixen
chosen
Brixen is a historic town in South Tyrol, northern Italy, known for its medieval architecture, Alpine setting, and role as a cultural and religious center in the region.
-
B.
Brunico
Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
-
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.
Merano
Merano is a historic spa and resort town in northern Italy known for its mild climate, Alpine scenery, and blend of Italian and Austrian cultural influences.
-
E.
Kufstein
Kufstein is a historic town in the Austrian state of Tyrol, known for its medieval fortress and picturesque setting in the Alps near the German border.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94aec37288190bd9060ba39ec4df2 |
completed | April 10, 2026, 7:09 p.m. |
Created at: April 6, 2026, 11:36 a.m.