Triple

T6625899
Position Surface form Disambiguated ID Type / Status
Subject Menden E149798 entity
Predicate hasSuburb P747 FINISHED
Object Sümmern
Sümmern is a district of the town of Menden in the Märkischer Kreis region of North Rhine-Westphalia, Germany.
 E607461 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: Sümmern | Statement: [Menden, hasSuburb, Sümmern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sümmern
Context triple: [Menden, hasSuburb, Sümmern]
  • A. Walsum
    Walsum is a northern district of the German city of Duisburg, located along the Rhine and known historically for its coal mining and industrial heritage.
  • B. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • C. Ostermundigen
    Ostermundigen is a municipality in the canton of Bern, Switzerland, functioning as a suburban community directly adjacent to the city of Bern.
  • D. Rheineck
    Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
  • E. Lengenfeld
    Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
  • 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: Sümmern
Triple: [Menden, hasSuburb, Sümmern]
Generated description
Sümmern is a district of the town of Menden in the Märkischer Kreis region of North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sümmern
Target entity description: Sümmern is a district of the town of Menden in the Märkischer Kreis region of North Rhine-Westphalia, Germany.
  • A. Walsum
    Walsum is a northern district of the German city of Duisburg, located along the Rhine and known historically for its coal mining and industrial heritage.
  • B. Obergoms
    Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
  • C. Ostermundigen
    Ostermundigen is a municipality in the canton of Bern, Switzerland, functioning as a suburban community directly adjacent to the city of Bern.
  • D. Rheineck
    Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
  • E. Lengenfeld
    Lengenfeld is a small town in the Free State of Saxony in eastern Germany, known as the birthplace of biblical scholar Constantin von Tischendorf.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af8187d881908b7a86f2cae5de23 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44d356c8190ad4f2a617c3de4af completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e5b236888190b108de51c730179a completed March 27, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69c6e7ce9aa88190abd000a13c00a070 completed March 27, 2026, 8:25 p.m.
Created at: March 27, 2026, 1:58 p.m.