Triple
T22005588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramsen (Switzerland) |
E543443
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Büsingen am Hochrhein |
—
|
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: Büsingen am Hochrhein | Statement: [Ramsen (Switzerland), neighboringMunicipality, Büsingen am Hochrhein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Büsingen am Hochrhein Context triple: [Ramsen (Switzerland), neighboringMunicipality, Büsingen am Hochrhein]
-
A.
Büsingen am Hochrhein
chosen
Büsingen am Hochrhein is a unique German exclave entirely surrounded by Switzerland, known for its special legal and economic status within the Swiss customs area.
-
B.
Weil am Rhein
Weil am Rhein is a German town in the state of Baden-Württemberg, located at the tripoint border with France and Switzerland near Basel.
-
C.
Schafhausen
Schafhausen is a village and district of the town Weil der Stadt in the German state of Baden-Württemberg.
-
D.
Sinzheim
Sinzheim is a municipality in the state of Baden-Württemberg in southwestern Germany, located near the city of Baden-Baden.
-
E.
Pfäfflingen
Pfäfflingen is a small village and district of the town Nördlingen in the Donau-Ries district of Bavaria, Germany.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.