Triple

T8572007
Position Surface form Disambiguated ID Type / Status
Subject Selzach E202947 entity
Predicate sharesBorderWith P224 FINISHED
Object Romont SO
Romont SO is a small municipality in the canton of Solothurn in northwestern Switzerland.
 E744139 NE FINISHED

How this triple was built (4 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: Romont SO | Statement: [Selzach, sharesBorderWith, Romont SO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Romont SO
Context triple: [Selzach, sharesBorderWith, Romont SO]
  • A. Murten
    Murten is a historic bilingual town in the canton of Fribourg, Switzerland, known for its well-preserved medieval old town and lakeside setting on Lake Murten.
  • B. Aosta
    Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
  • C. Remiremont
    Remiremont is a historic commune in northeastern France known for its picturesque setting in the Vosges region and its former influential abbey.
  • D. Cluses
    Cluses is a small industrial town in southeastern France known for its precision engineering and watchmaking heritage, located in the Arve Valley of the Haute-Savoie department in the Alps.
  • E. Fribourg
    Fribourg is a bilingual Swiss canton in western Switzerland known for its medieval capital city and location at the cultural boundary between French- and German-speaking regions.
  • 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: Romont SO
Triple: [Selzach, sharesBorderWith, Romont SO]
Generated description
Romont SO is a small municipality in the canton of Solothurn in northwestern Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Romont SO
Target entity description: Romont SO is a small municipality in the canton of Solothurn in northwestern Switzerland.
  • A. Murten
    Murten is a historic bilingual town in the canton of Fribourg, Switzerland, known for its well-preserved medieval old town and lakeside setting on Lake Murten.
  • B. Aosta
    Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
  • C. Remiremont
    Remiremont is a historic commune in northeastern France known for its picturesque setting in the Vosges region and its former influential abbey.
  • D. Cluses
    Cluses is a small industrial town in southeastern France known for its precision engineering and watchmaking heritage, located in the Arve Valley of the Haute-Savoie department in the Alps.
  • E. Fribourg
    Fribourg is a bilingual Swiss canton in western Switzerland known for its medieval capital city and location at the cultural boundary between French- and German-speaking regions.
  • F. None of above. chosen

Provenance (5 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea43843c8190ac2224d427bb7a75 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce8983bd3c819094457b5160bc928d completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8ac1dba48190bbad47a762130aab completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8eae70008190b2c7bbe4ce8d4c0a completed April 2, 2026, 3:43 p.m.
Created at: March 30, 2026, 6:21 p.m.