Triple
T21296989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramiswil |
E524949
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Gänsbrunnen |
—
|
NE NERFINISHED |
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: Gänsbrunnen | Statement: [Ramiswil, hasNeighboringMunicipality, Gänsbrunnen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gänsbrunnen Context triple: [Ramiswil, hasNeighboringMunicipality, Gänsbrunnen]
-
A.
Welschenrohr-Gänsbrunnen
chosen
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.
-
B.
Feldbrunnen
Feldbrunnen is a village and municipality in the canton of Solothurn in northwestern Switzerland.
-
C.
Fraubrunnen
Fraubrunnen is a municipality in the canton of Bern in Switzerland, known for its rural character and location in the Swiss Plateau.
-
D.
Ernstbrunn
Ernstbrunn is a market town in Lower Austria known historically as an estate center of the noble House of Kinsky.
-
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 (2 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385968308190bc9fe5c2bd4598e6 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:04 p.m.