Triple

T17927098
Position Surface form Disambiguated ID Type / Status
Subject Amberg-Sulzbach E448225 entity
Predicate contains P35 FINISHED
Object Ursensollen
Ursensollen is a municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
E1309652 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: Ursensollen | Statement: [Amberg-Sulzbach, contains, Ursensollen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ursensollen
Context triple: [Amberg-Sulzbach, contains, Ursensollen]
  • A. Würenlingen
    Würenlingen is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and proximity to the Aare River and regional transport links.
  • B. Hergiswil
    Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
  • C. Uzwil
    Uzwil is a municipality in the canton of St. Gallen in northeastern Switzerland, known as a regional industrial and residential center.
  • D. Fehraltorf
    Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
  • E. Adliswil
    Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
  • 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: Ursensollen
Triple: [Amberg-Sulzbach, contains, Ursensollen]
Generated description
Ursensollen is a municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ursensollen
Target entity description: Ursensollen is a municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
  • A. Würenlingen
    Würenlingen is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and proximity to the Aare River and regional transport links.
  • B. Hergiswil
    Hergiswil is a Swiss lakeside municipality known for its scenic setting on Lake Lucerne and its historic glassworks.
  • C. Uzwil
    Uzwil is a municipality in the canton of St. Gallen in northeastern Switzerland, known as a regional industrial and residential center.
  • D. Fehraltorf
    Fehraltorf is a municipality in the canton of Zurich in Switzerland, known for its rural character and proximity to the city of Zurich.
  • E. Adliswil
    Adliswil is a municipality in the canton of Zurich, Switzerland, situated in the Sihl Valley just south of the city of Zurich.
  • 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_6a038fa4742881908e476000e24079ae completed May 12, 2026, 8:37 p.m.
NEDg Description generation batch_6a03920ab9ac8190adac3976ffe3bde2 completed May 12, 2026, 8:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0392edfe6c81908082f99ff2e05c0c completed May 12, 2026, 8:51 p.m.
Created at: April 10, 2026, 10:20 a.m.