Triple

T8965174
Position Surface form Disambiguated ID Type / Status
Subject Kandern E214111 entity
Predicate hasSubdivision P747 FINISHED
Object Feuerbach (Kandern)
Feuerbach (Kandern) is a small village and administrative district (Ortsteil) of the town of Kandern in the Lörrach district of Baden-Württemberg, Germany.
 E214111 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: Feuerbach (Kandern) | Statement: [Kandern, hasSubdivision, Feuerbach (Kandern)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feuerbach (Kandern)
Context triple: [Kandern, hasSubdivision, Feuerbach (Kandern)]
  • A. Kandern
    Kandern is a small town in southwestern Germany’s Baden-Württemberg state, known for its scenic Black Forest setting and traditional ceramics.
  • B. Kelkheim
    Kelkheim is a town in the Main-Taunus district of Hesse, Germany, known for its furniture industry and proximity to Frankfurt.
  • C. Griesheim
    Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
  • D. Feldbach
    Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
  • E. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • 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: Feuerbach (Kandern)
Triple: [Kandern, hasSubdivision, Feuerbach (Kandern)]
Generated description
Feuerbach (Kandern) is a small village and administrative district (Ortsteil) of the town of Kandern in the Lörrach district of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feuerbach (Kandern)
Target entity description: Feuerbach (Kandern) is a small village and administrative district (Ortsteil) of the town of Kandern in the Lörrach district of Baden-Württemberg, Germany.
  • A. Kandern chosen
    Kandern is a small town in southwestern Germany’s Baden-Württemberg state, known for its scenic Black Forest setting and traditional ceramics.
  • B. Kelkheim
    Kelkheim is a town in the Main-Taunus district of Hesse, Germany, known for its furniture industry and proximity to Frankfurt.
  • C. Griesheim
    Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
  • D. Feldbach
    Feldbach is a small town in southeastern Austria known for its historic center and location in the Styrian volcanic region.
  • E. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • F. None of above.

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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674c4be8819090d46aba8ab40af3 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc95514408190ad442069daec0459 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfc9e01dc88190aeedcd9fb3281688 completed April 3, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69cfca4374c481909ceefcfb1a31bed2 completed April 3, 2026, 2:10 p.m.
Created at: March 30, 2026, 7:01 p.m.