Triple
T216778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss franc |
E4121
|
entity |
| Predicate | legalTenderIn |
P188
|
FINISHED |
| Object | Büsingen am Hochrhein |
E20788
|
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: Büsingen am Hochrhein | Statement: [Swiss franc, legalTenderIn, Büsingen am Hochrhein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Büsingen am Hochrhein Context triple: [Swiss franc, legalTenderIn, 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.
Basel-Stadt
Basel-Stadt is a small, urban Swiss canton centered on the city of Basel, a major cultural and economic hub in northwestern Switzerland.
-
C.
Boblingen
Böblingen is a town in the German state of Baden-Württemberg, known for its automotive industry presence and proximity to Stuttgart.
-
D.
Solothurn
Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
-
E.
Biel/Bienne
Biel/Bienne is a bilingual (German-French) Swiss city in the canton of Bern, known for its watchmaking industry and location at the eastern end of Lake Biel.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c4edfa081909fe97c86c3c7801d |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d7e0801c8190aa1f1c5f8d5bc3cb |
completed | March 1, 2026, 6:08 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.