Triple

T17927097
Position Surface form Disambiguated ID Type / Status
Subject Amberg-Sulzbach E448225 entity
Predicate contains P35 FINISHED
Object Schmidmühlen
Schmidmühlen is a small market town in the Upper Palatinate region of Bavaria, Germany, known for its scenic location at the confluence of the Vils and Lauterach rivers.
E1296885 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: Schmidmühlen | Statement: [Amberg-Sulzbach, contains, Schmidmühlen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schmidmühlen
Context triple: [Amberg-Sulzbach, contains, Schmidmühlen]
  • A. Aumühle
    Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
  • B. Hüttermühle
    Hüttermühle is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
  • C. Hudemühlen
    Hudemühlen is a locality in the municipality of Hodenhagen in Lower Saxony, Germany, historically known for the former Hudemühlen Castle.
  • D. Eggermühlen
    Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
  • E. Pleistermühle
    Pleistermühle is a popular riverside leisure and recreation spot on the Werse near Münster, Germany, known for activities like cycling, canoeing, and relaxing by the water.
  • 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: Schmidmühlen
Triple: [Amberg-Sulzbach, contains, Schmidmühlen]
Generated description
Schmidmühlen is a small market town in the Upper Palatinate region of Bavaria, Germany, known for its scenic location at the confluence of the Vils and Lauterach rivers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schmidmühlen
Target entity description: Schmidmühlen is a small market town in the Upper Palatinate region of Bavaria, Germany, known for its scenic location at the confluence of the Vils and Lauterach rivers.
  • A. Aumühle
    Aumühle is a small municipality in northern Germany, known in part as the place where former German Grand Admiral and President Karl Dönitz died.
  • B. Hüttermühle
    Hüttermühle is a small locality that forms part of the town of Genthin in the German state of Saxony-Anhalt.
  • C. Hudemühlen
    Hudemühlen is a locality in the municipality of Hodenhagen in Lower Saxony, Germany, historically known for the former Hudemühlen Castle.
  • D. Eggermühlen
    Eggermühlen is a small rural municipality in Lower Saxony, Germany, situated within the Osnabrück district.
  • E. Pleistermühle
    Pleistermühle is a popular riverside leisure and recreation spot on the Werse near Münster, Germany, known for activities like cycling, canoeing, and relaxing by the water.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54f29a88190b035d8473765bde5 completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a032136546c81909556406f96f8c04b completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a032282ce908190a484708ec9995d60 completed May 12, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_6a032466070c819084e17d0bf5612844 completed May 12, 2026, 1 p.m.
Created at: April 10, 2026, 10:20 a.m.