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.