Triple
T8572008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selzach |
E202947
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Feldbrunnen-St. Niklaus |
E120372
|
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: Feldbrunnen-St. Niklaus | Statement: [Selzach, sharesBorderWith, Feldbrunnen-St. Niklaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feldbrunnen-St. Niklaus Context triple: [Selzach, sharesBorderWith, Feldbrunnen-St. Niklaus]
-
A.
Feldbrunnen-St. Niklaus
chosen
Feldbrunnen-St. Niklaus is a small Swiss municipality located near the city of Solothurn in the canton of Solothurn.
-
B.
Feldbrunnen
Feldbrunnen is a village and municipality in the canton of Solothurn in northwestern Switzerland.
-
C.
Welschenrohr-Gänsbrunnen
Welschenrohr-Gänsbrunnen is a municipality in the canton of Solothurn in northwestern Switzerland, formed by the merger of the villages Welschenrohr and Gänsbrunnen in the Jura region.
-
D.
Fraubrunnen
Fraubrunnen is a municipality in the canton of Bern in Switzerland, known for its rural character and location in the Swiss Plateau.
-
E.
Dittelbrunn
Dittelbrunn is a municipality in the Schweinfurt district of Bavaria, Germany, known for its residential character and proximity to the city of Schweinfurt.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea43843c8190ac2224d427bb7a75 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8983bd3c819094457b5160bc928d |
completed | April 2, 2026, 3:21 p.m. |
Created at: March 30, 2026, 6:21 p.m.