Triple
T5944609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellach |
E132248
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Selzach |
E202947
|
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: Selzach | Statement: [Bellach, neighboringMunicipality, Selzach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selzach Context triple: [Bellach, neighboringMunicipality, Selzach]
-
A.
Selzach
chosen
Selzach is a Swiss municipality located in the canton of Solothurn, known for its rural character and proximity to the Jura Mountains.
-
B.
Neuenegg
Neuenegg is a Swiss municipality in the canton of Bern, known for its rural character and location near the city of Bern.
-
C.
Sursee
Sursee is a historic Swiss town in the canton of Lucerne, known for its well-preserved medieval old town and scenic setting near Lake Sempach.
-
D.
Allschwil
Allschwil is a suburban municipality near Basel in northwestern Switzerland, known for its residential character and role as a local economic center.
-
E.
Göschenen
Göschenen is a Swiss mountain village and railway junction in the canton of Uri, known as a gateway to the Gotthard region.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03937b4a88190819a1fd63fc3d3ed |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e399f2ec81908e2e38b9fbf8b56a |
completed | March 27, 2026, 1:55 a.m. |
Created at: March 22, 2026, 4:01 p.m.