Triple

T9440805
Position Surface form Disambiguated ID Type / Status
Subject Augsburg district E227639 entity
Predicate contains P35 FINISHED
Object Zusmarshausen
Zusmarshausen is a market town in the Swabian region of Bavaria, Germany, known for its location along the Autobahn A8 between Augsburg and Ulm.
E866001 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: Zusmarshausen | Statement: [Augsburg district, contains, Zusmarshausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zusmarshausen
Context triple: [Augsburg district, contains, Zusmarshausen]
  • A. Zusenhofen
    Zusenhofen is a village and district within the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • B. Merzhausen
    Merzhausen is a village-level district that forms one of the subdivisions of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • C. Wilhelmsruh
    Wilhelmsruh is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and historical ties to Berlin’s former border zone.
  • D. Tussenhausen
    Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
  • E. Schwabmünchen
    Schwabmünchen is a small Bavarian town in southern Germany known for its historic center and location near the city of Augsburg.
  • 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: Zusmarshausen
Triple: [Augsburg district, contains, Zusmarshausen]
Generated description
Zusmarshausen is a market town in the Swabian region of Bavaria, Germany, known for its location along the Autobahn A8 between Augsburg and Ulm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zusmarshausen
Target entity description: Zusmarshausen is a market town in the Swabian region of Bavaria, Germany, known for its location along the Autobahn A8 between Augsburg and Ulm.
  • A. Zusenhofen
    Zusenhofen is a village and district within the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • B. Merzhausen
    Merzhausen is a village-level district that forms one of the subdivisions of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • C. Wilhelmsruh
    Wilhelmsruh is a locality in the borough of Pankow in Berlin, Germany, known for its residential character and historical ties to Berlin’s former border zone.
  • D. Tussenhausen
    Tussenhausen is a municipality in the district of Unterallgäu in Bavaria, Germany, known for its rural character and small villages such as Mattsies.
  • E. Schwabmünchen
    Schwabmünchen is a small Bavarian town in southern Germany known for its historic center and location near the city of Augsburg.
  • 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_69d89eedc66c81909076cc7ba35f9da5 completed April 10, 2026, 6:55 a.m.
NEDg Description generation batch_69d8a2f4bbec8190a5c508c6431d71b2 completed April 10, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69d8aff34c7081909c3504e00f56d9ec completed April 10, 2026, 8:08 a.m.
Created at: March 30, 2026, 7:50 p.m.