Triple

T9440792
Position Surface form Disambiguated ID Type / Status
Subject Augsburg district E227639 entity
Predicate contains P35 FINISHED
Object Schwabmünchen
Schwabmünchen is a small Bavarian town in southern Germany known for its historic center and location near the city of Augsburg.
E863061 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: Schwabmünchen | Statement: [Augsburg district, contains, Schwabmünchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwabmünchen
Context triple: [Augsburg district, contains, Schwabmünchen]
  • A. Wolfratshausen
    Wolfratshausen is a Bavarian town in southern Germany known for its historic old town, riverside setting on the Loisach and Isar, and proximity to Munich and the Alps.
  • B. Schwanau
    Schwanau is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River and the French border.
  • C. Herzogenaurach
    Herzogenaurach is a Bavarian town in Germany best known as the birthplace and headquarters of the global sportswear brands Adidas and Puma.
  • D. Schwarzach
    Schwarzach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz.
  • E. Burghausen
    Burghausen is a historic Bavarian town in southeastern Germany, renowned for its remarkably well-preserved medieval old town and one of the longest castle complexes in the world.
  • 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: Schwabmünchen
Triple: [Augsburg district, contains, Schwabmünchen]
Generated description
Schwabmünchen is a small Bavarian town in southern Germany known for its historic center and location near the city of Augsburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schwabmünchen
Target entity description: Schwabmünchen is a small Bavarian town in southern Germany known for its historic center and location near the city of Augsburg.
  • A. Wolfratshausen
    Wolfratshausen is a Bavarian town in southern Germany known for its historic old town, riverside setting on the Loisach and Isar, and proximity to Munich and the Alps.
  • B. Schwanau
    Schwanau is a municipality in southwestern Germany’s Baden-Württemberg region, situated near the Rhine River and the French border.
  • C. Herzogenaurach
    Herzogenaurach is a Bavarian town in Germany best known as the birthplace and headquarters of the global sportswear brands Adidas and Puma.
  • D. Schwarzach
    Schwarzach is a municipality in the Austrian state of Vorarlberg, located in the district of Bregenz.
  • E. Burghausen
    Burghausen is a historic Bavarian town in southeastern Germany, renowned for its remarkably well-preserved medieval old town and one of the longest castle complexes in the world.
  • 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_69d87dfc46e08190bea27c11b987cb6d completed April 10, 2026, 4:35 a.m.
NEDg Description generation batch_69d8837e70508190b03e8983b2617eac completed April 10, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d889cc40648190a1d80b955e676ea5 completed April 10, 2026, 5:25 a.m.
Created at: March 30, 2026, 7:50 p.m.