Triple

T1499330
Position Surface form Disambiguated ID Type / Status
Subject Kandern region E29758 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Kandern
Kandern is a small town in southwestern Germany’s Baden-Württemberg state, known for its scenic Black Forest setting and traditional ceramics.
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: Kandern | Statement: [Kandern region, hasAdministrativeCenter, Kandern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kandern
Context triple: [Kandern region, hasAdministrativeCenter, Kandern]
  • A. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • B. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • C. Schwandorf
    Schwandorf is a town in the Upper Palatinate region of Bavaria, Germany, known as a local administrative and commercial center on the Naab River.
  • D. Schorndorf
    Schorndorf is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and as the birthplace of automotive pioneer Gottlieb Daimler.
  • E. Radevormwald
    Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
  • 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: Kandern
Triple: [Kandern region, hasAdministrativeCenter, Kandern]
Generated description
Kandern is a small town in southwestern Germany’s Baden-Württemberg state, known for its scenic Black Forest setting and traditional ceramics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kandern
Target entity description: Kandern is a small town in southwestern Germany’s Baden-Württemberg state, known for its scenic Black Forest setting and traditional ceramics.
  • A. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • B. Weiterstadt
    Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
  • C. Schwandorf
    Schwandorf is a town in the Upper Palatinate region of Bavaria, Germany, known as a local administrative and commercial center on the Naab River.
  • D. Schorndorf
    Schorndorf is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval center and as the birthplace of automotive pioneer Gottlieb Daimler.
  • E. Radevormwald
    Radevormwald is a small historic town in North Rhine-Westphalia, western Germany, known for its hilly Bergisches Land landscape and traditional textile and metalworking industries.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6f0ce988190aafab4a6e0dfd710 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeabea0d88190b0bd83aece8c7b55 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeea29fd4819099e1ac22b9ce123f completed March 8, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69adef4913608190824764bd79821a7e completed March 8, 2026, 9:51 p.m.
Created at: March 1, 2026, 8:12 p.m.