Triple

T13402912
Position Surface form Disambiguated ID Type / Status
Subject Brugg District E319876 entity
Predicate hasMunicipality P847 FINISHED
Object Rüfenach
Rüfenach is a small municipality in the canton of Aargau in northern Switzerland.
E1039171 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: Rüfenach | Statement: [Brugg District, hasMunicipality, Rüfenach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rüfenach
Context triple: [Brugg District, hasMunicipality, Rüfenach]
  • A. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • B. Fürstenau
    Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
  • C. Fürstenau
    Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
  • D. Wendisch Rietz
    Wendisch Rietz is a lakeside village and holiday resort in Brandenburg, Germany, known for its location on the shores of Scharmützelsee and its recreational tourism.
  • E. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • 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: Rüfenach
Triple: [Brugg District, hasMunicipality, Rüfenach]
Generated description
Rüfenach is a small municipality in the canton of Aargau in northern Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rüfenach
Target entity description: Rüfenach is a small municipality in the canton of Aargau in northern Switzerland.
  • A. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • B. Fürstenau
    Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
  • C. Fürstenau
    Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
  • D. Wendisch Rietz
    Wendisch Rietz is a lakeside village and holiday resort in Brandenburg, Germany, known for its location on the shores of Scharmützelsee and its recreational tourism.
  • E. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4982e0819087a9fcb2fa88541f completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73076a7ac8190bd7898edff7d90e8 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f732351cf88190be85186d20b529b7 completed May 3, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69f732d82c308190907e11de42e2c8ea completed May 3, 2026, 11:34 a.m.
Created at: April 9, 2026, 9:34 p.m.