Triple

T9208414
Position Surface form Disambiguated ID Type / Status
Subject District of Weilheim-Schongau E221046 entity
Predicate containsMunicipality P852 FINISHED
Object Vilgertshofen
Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
E840130 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: Vilgertshofen | Statement: [District of Weilheim-Schongau, containsMunicipality, Vilgertshofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilgertshofen
Context triple: [District of Weilheim-Schongau, containsMunicipality, Vilgertshofen]
  • A. Gerolzhofen
    Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
  • B. Possenhofen
    Possenhofen is a lakeside village in Bavaria, Germany, best known for its historic castle and its association with Empress Elisabeth of Austria ("Sisi").
  • C. Schlagenhofen
    Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
  • D. Zusenhofen
    Zusenhofen is a village and district within the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • E. Allmannshofen
    Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
  • 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: Vilgertshofen
Triple: [District of Weilheim-Schongau, containsMunicipality, Vilgertshofen]
Generated description
Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vilgertshofen
Target entity description: Vilgertshofen is a small rural municipality in the Bavarian region of Germany, characterized by its agricultural landscape and village-style community.
  • A. Gerolzhofen
    Gerolzhofen is a small historic town in northern Bavaria, Germany, known for its medieval architecture and wine-growing surroundings.
  • B. Possenhofen
    Possenhofen is a lakeside village in Bavaria, Germany, best known for its historic castle and its association with Empress Elisabeth of Austria ("Sisi").
  • C. Schlagenhofen
    Schlagenhofen is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee near Lake Ammersee.
  • D. Zusenhofen
    Zusenhofen is a village and district within the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
  • E. Allmannshofen
    Allmannshofen is a small municipality in the Swabian region of Bavaria in southern Germany.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b217008190a0ab4971dd4a8899 completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b56fd9cc819089ed17169d313d8b completed April 5, 2026, 7:18 p.m.
NEDg Description generation batch_69d2b741cad481909f04e2f8da68753c completed April 5, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69d2b805afa08190a43745d764a75050 completed April 5, 2026, 7:29 p.m.
Created at: March 30, 2026, 7:26 p.m.