Triple

T21016843
Position Surface form Disambiguated ID Type / Status
Subject Rothrist E517699 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Boningen
Boningen is a small municipality in the canton of Solothurn in Switzerland.
E1462566 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: Boningen | Statement: [Rothrist, neighboringMunicipality, Boningen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boningen
Context triple: [Rothrist, neighboringMunicipality, Boningen]
  • A. Burdaard
    Burdaard is a small village in the Dutch province of Friesland, known for its traditional windmill and location along the Dokkumer Ee canal.
  • B. Langerei
    Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
  • C. Banog
    Banog is a location that serves as one terminus of the Great Arc of the Meridian.
  • D. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
  • E. Wassenberg
    Wassenberg is a historic town in western Germany near the Dutch border, known for its medieval origins and association with the noble House of Wassenberg.
  • 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: Boningen
Triple: [Rothrist, neighboringMunicipality, Boningen]
Generated description
Boningen is a small municipality in the canton of Solothurn in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boningen
Target entity description: Boningen is a small municipality in the canton of Solothurn in Switzerland.
  • A. Burdaard
    Burdaard is a small village in the Dutch province of Friesland, known for its traditional windmill and location along the Dokkumer Ee canal.
  • B. Langerei
    Langerei is a picturesque canal in Bruges, Belgium, known for its historic waterfront buildings and scenic views in the medieval city center.
  • C. Banog
    Banog is a location that serves as one terminus of the Great Arc of the Meridian.
  • D. Hagenborgh
    Hagenborgh is a notable landmark building in the Dutch city of Almelo, recognized for its prominent role in the local urban landscape.
  • E. Wassenberg
    Wassenberg is a historic town in western Germany near the Dutch border, known for its medieval origins and association with the noble House of Wassenberg.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5968c081909ae6407199858aba completed April 21, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b6544ec8190baa55bb07941a231 completed May 17, 2026, 3:52 a.m.
NEDg Description generation batch_6a093f659a7c8190a10c41821dafacc4 completed May 17, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0940e3b7988190b5400d16211aefcc completed May 17, 2026, 4:15 a.m.
Created at: April 16, 2026, 1:54 p.m.