Triple
T1261697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Büsingen am Hochrhein customs enclave context |
E12515
|
entity |
| Predicate | surroundingCanton |
P7850
|
FINISHED |
| Object |
canton of Schaffhausen
The canton of Schaffhausen is a small, predominantly German-speaking canton in northern Switzerland known for its historic old town, the Munot fortress, and proximity to the Rhine Falls.
|
E357749
|
NE FINISHED |
How this triple was built (5 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: canton of Schaffhausen | Statement: [Büsingen am Hochrhein customs enclave context, surroundingCanton, canton of Schaffhausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: canton of Schaffhausen Context triple: [Büsingen am Hochrhein customs enclave context, surroundingCanton, canton of Schaffhausen]
-
A.
canton of Thurgau
The canton of Thurgau is a largely rural northeastern Swiss canton along Lake Constance, known for its agriculture, fruit-growing, and proximity to Germany.
-
B.
Canton of Aargau
The Canton of Aargau is a largely German-speaking canton in northern Switzerland known for its riverside landscapes along the Aare, historic towns, and role as an important economic and transport hub.
-
C.
Canton of Basel-Landschaft
The Canton of Basel-Landschaft is a largely rural Swiss canton in the northwestern part of the country, known for its rolling hills, small towns, and proximity to the city of Basel.
-
D.
canton of Bern
The canton of Bern is a large, predominantly German-speaking canton in west-central Switzerland that includes the federal capital city of Bern and encompasses diverse landscapes from the Swiss Plateau to the Alps.
-
E.
Canton of St. Gallen
The Canton of St. Gallen is a largely German-speaking canton in northeastern Switzerland known for its historic textile industry, the city of St. Gallen with its UNESCO-listed Abbey Library, and its location between Lake Constance and the Alps.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: canton of Schaffhausen Triple: [Büsingen am Hochrhein customs enclave context, surroundingCanton, canton of Schaffhausen]
Generated description
The canton of Schaffhausen is a small, predominantly German-speaking canton in northern Switzerland known for its historic old town, the Munot fortress, and proximity to the Rhine Falls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: canton of Schaffhausen Target entity description: The canton of Schaffhausen is a small, predominantly German-speaking canton in northern Switzerland known for its historic old town, the Munot fortress, and proximity to the Rhine Falls.
-
A.
canton of Thurgau
The canton of Thurgau is a largely rural northeastern Swiss canton along Lake Constance, known for its agriculture, fruit-growing, and proximity to Germany.
-
B.
Canton of Aargau
The Canton of Aargau is a largely German-speaking canton in northern Switzerland known for its riverside landscapes along the Aare, historic towns, and role as an important economic and transport hub.
-
C.
Canton of Basel-Landschaft
The Canton of Basel-Landschaft is a largely rural Swiss canton in the northwestern part of the country, known for its rolling hills, small towns, and proximity to the city of Basel.
-
D.
canton of Bern
The canton of Bern is a large, predominantly German-speaking canton in west-central Switzerland that includes the federal capital city of Bern and encompasses diverse landscapes from the Swiss Plateau to the Alps.
-
E.
Canton of St. Gallen
The Canton of St. Gallen is a largely German-speaking canton in northeastern Switzerland known for its historic textile industry, the city of St. Gallen with its UNESCO-listed Abbey Library, and its location between Lake Constance and the Alps.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surroundingCanton Context triple: [Büsingen am Hochrhein customs enclave context, surroundingCanton, canton of Schaffhausen]
-
A.
hasCanton
Indicates that an entity is administratively divided into, or associated with, a specific canton.
-
B.
canton
Indicates that an entity is administratively located within, belongs to, or is governed as part of a specific canton.
-
C.
includesCanton
Indicates that a larger administrative or geographic entity contains or encompasses a specific canton within its boundaries.
-
D.
featuresCanton
Indicates that an administrative region or entity includes or is associated with a specific canton as one of its subdivisions or components.
-
E.
surrounds
chosen
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
- F. None of above.
Provenance (6 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc64e648190b9c4f980eb8168aa |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35449d84c819082e1a1aefc7234c5 |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b3583fd35481909500b9feaec9977f |
completed | March 13, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b35949fe048190a78a7c0b303e20e6 |
completed | March 13, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.