Triple

T15233868
Position Surface form Disambiguated ID Type / Status
Subject Möhringen E364072 entity
Predicate hasSubdistrict P747 FINISHED
Object Sonnenberg
Sonnenberg is a residential subdistrict of Möhringen in Stuttgart, Germany.
E1144291 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: Sonnenberg | Statement: [Möhringen, hasSubdistrict, Sonnenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonnenberg
Context triple: [Möhringen, hasSubdistrict, Sonnenberg]
  • A. Sonnenberg
    Sonnenberg is a ski area in the Harz Mountains of Germany, known for its winter sports facilities and proximity to the town of Sankt Andreasberg.
  • B. Ravensberg
    Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
  • C. Sonnenfeld
    Sonnenfeld is a German-origin surname most notably associated with American filmmaker Barry Sonnenfeld, known for directing movies like "Men in Black" and "The Addams Family."
  • D. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
  • E. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • 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: Sonnenberg
Triple: [Möhringen, hasSubdistrict, Sonnenberg]
Generated description
Sonnenberg is a residential subdistrict of Möhringen in Stuttgart, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sonnenberg
Target entity description: Sonnenberg is a residential subdistrict of Möhringen in Stuttgart, Germany.
  • A. Sonnenberg
    Sonnenberg is a ski area in the Harz Mountains of Germany, known for its winter sports facilities and proximity to the town of Sankt Andreasberg.
  • B. Ravensberg
    Ravensberg was a historical county in northwestern Germany that became part of the expanding territorial holdings of Brandenburg-Prussia.
  • C. Sonnenfeld
    Sonnenfeld is a German-origin surname most notably associated with American filmmaker Barry Sonnenfeld, known for directing movies like "Men in Black" and "The Addams Family."
  • D. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
  • E. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d7237081908dc17900ee66b64f completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3dd5a081909a1a7fceda648c29 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fede8eed2c8190adb45306a1ec0faa completed May 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69fedef546708190bdeedd2c61fdbc86 completed May 9, 2026, 7:15 a.m.
Created at: April 10, 2026, 3:12 a.m.