Triple

T9398147
Position Surface form Disambiguated ID Type / Status
Subject Schondorf am Ammersee E226397 entity
Predicate hasSubdivision P747 FINISHED
Object Unterschondorf
Unterschondorf is a village-level district within the municipality of Schondorf am Ammersee in the Bavarian region of Germany.
E801605 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: Unterschondorf | Statement: [Schondorf am Ammersee, hasSubdivision, Unterschondorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unterschondorf
Context triple: [Schondorf am Ammersee, hasSubdivision, Unterschondorf]
  • A. Unterdorf
    Unterdorf is a locality that forms one of the subdivisions of the Austrian municipality of Wolfurt in the state of Vorarlberg.
  • B. Oberschondorf
    Oberschondorf is a district or locality within the Bavarian lakeside municipality of Schondorf am Ammersee in Germany.
  • C. Oberwaltersdorf
    Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
  • D. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • E. Eberhardzell
    Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
  • 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: Unterschondorf
Triple: [Schondorf am Ammersee, hasSubdivision, Unterschondorf]
Generated description
Unterschondorf is a village-level district within the municipality of Schondorf am Ammersee in the Bavarian region of Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Unterschondorf
Target entity description: Unterschondorf is a village-level district within the municipality of Schondorf am Ammersee in the Bavarian region of Germany.
  • A. Unterdorf
    Unterdorf is a locality that forms one of the subdivisions of the Austrian municipality of Wolfurt in the state of Vorarlberg.
  • B. Oberschondorf chosen
    Oberschondorf is a district or locality within the Bavarian lakeside municipality of Schondorf am Ammersee in Germany.
  • C. Oberwaltersdorf
    Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
  • D. Hägendorf
    Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
  • E. Eberhardzell
    Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
  • F. None of above.

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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51541020819097da2eb60be73760 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139ce08ec81908a8e81c060667ac3 completed April 4, 2026, 4:18 p.m.
NEDg Description generation batch_69d13a9cd1848190a31730405bb78fcd completed April 4, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69d13af5a7808190a216d4fc8c44c8b1 completed April 4, 2026, 4:23 p.m.
Created at: March 30, 2026, 7:46 p.m.