Triple

T9440806
Position Surface form Disambiguated ID Type / Status
Subject Augsburg district E227639 entity
Predicate contains P35 FINISHED
Object Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
E801079 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: Dinkelscherben | Statement: [Augsburg district, contains, Dinkelscherben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinkelscherben
Context triple: [Augsburg district, contains, Dinkelscherben]
  • A. Baar-Ebenhausen
    Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
  • B. Mausberg
    Mausberg was an American West Coast rapper from Compton, California, known for his collaborations with DJ Quik before his life was tragically cut short.
  • C. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Kaiserwiese
    Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
  • E. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • 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: Dinkelscherben
Triple: [Augsburg district, contains, Dinkelscherben]
Generated description
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dinkelscherben
Target entity description: Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • A. Baar-Ebenhausen
    Baar-Ebenhausen is a Bavarian municipality in southern Germany known for its residential character and location along the Ilm River.
  • B. Mausberg
    Mausberg was an American West Coast rapper from Compton, California, known for his collaborations with DJ Quik before his life was tragically cut short.
  • C. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Kaiserwiese
    Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
  • E. Mohrungen
    Mohrungen is a historic town in former East Prussia (now Morąg in northern Poland), known as the birthplace of philosopher and theologian Johann Gottfried Herder.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee4f4a08190ada5ee14fec2b822 completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1225df53c819091b64f8cda159ae9 completed April 4, 2026, 2:38 p.m.
NEDg Description generation batch_69d12423e63081909454b662fd6b4fdd completed April 4, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_69d124b731e08190bfeb27889b05de10 completed April 4, 2026, 2:48 p.m.
Created at: March 30, 2026, 7:50 p.m.