Triple
T14731256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Solothurn |
E346078
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bettlach |
E145555
|
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: Bettlach | Statement: [canton of Solothurn, contains, Bettlach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bettlach Context triple: [canton of Solothurn, contains, Bettlach]
-
A.
Bettlach
chosen
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
B.
Sachseln
Sachseln is a municipality in the Swiss canton of Obwalden, known as the home and pilgrimage site associated with the Swiss patron saint Nicholas of Flüe.
-
C.
Waltershof
Waltershof is an industrial and port district of Hamburg, Germany, located within the borough of Hamburg-Mitte.
-
D.
Kiental
Kiental is a picturesque alpine valley and village in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery and hiking opportunities.
-
E.
Vitznau
Vitznau is a picturesque Swiss lakeside village in the canton of Lucerne, known as a gateway to Mount Rigi and a popular destination for scenic tourism on Lake Lucerne.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26311c8819093a81ff0fa43b33b |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e79997c8190bb6f158d50603066 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:29 a.m.