Triple
T4446436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdres |
E96299
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Begna |
E422294
|
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: Begna | Statement: [Valdres, hasRiver, Begna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Begna Context triple: [Valdres, hasRiver, Begna]
-
A.
Begna
chosen
Begna is a river in southeastern Norway that flows through the region of Ringerike and is known for its role in local hydropower production and freshwater ecosystems.
-
B.
Vésenaz
Vésenaz is a residential village in the canton of Geneva, Switzerland, situated on the shores of Lake Geneva and forming part of the municipality of Collonge-Bellerive.
-
C.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
D.
Blevio
Blevio is a small lakeside municipality in the Province of Como, Lombardy, Italy, situated on the eastern shore of Lake Como.
-
E.
Vechigen
Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d1eba08190899d0a3c1684ce4e |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613850eb88190b689a632b0e2b374 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.