Triple

T13137896
Position Surface form Disambiguated ID Type / Status
Subject Vienenburg E312129 entity
Predicate hasSubdivision P747 FINISHED
Object Wiedelah
Wiedelah is a small district or locality that forms part of the town of Vienenburg in Germany.
E1022205 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: Wiedelah | Statement: [Vienenburg, hasSubdivision, Wiedelah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiedelah
Context triple: [Vienenburg, hasSubdivision, Wiedelah]
  • A. Würges
    Würges is a district of the spa town Bad Camberg in the Limburg-Weilburg region of Hesse, Germany.
  • B. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Walheim
    Walheim is a surname most notably associated with American astronaut Rex Walheim, who flew on multiple Space Shuttle missions.
  • D. Wiehe
    Wiehe is a small town in the German state of Thuringia, historically notable as the birthplace of the influential 19th-century historian Leopold von Ranke.
  • E. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • 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: Wiedelah
Triple: [Vienenburg, hasSubdivision, Wiedelah]
Generated description
Wiedelah is a small district or locality that forms part of the town of Vienenburg in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wiedelah
Target entity description: Wiedelah is a small district or locality that forms part of the town of Vienenburg in Germany.
  • A. Würges
    Würges is a district of the spa town Bad Camberg in the Limburg-Weilburg region of Hesse, Germany.
  • B. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Walheim
    Walheim is a surname most notably associated with American astronaut Rex Walheim, who flew on multiple Space Shuttle missions.
  • D. Wiehe
    Wiehe is a small town in the German state of Thuringia, historically notable as the birthplace of the influential 19th-century historian Leopold von Ranke.
  • E. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b6a4348190b9922ed255759078 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e295b3408190a7246115d3ee90e5 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e3a950548190836e24621a5ece74 completed May 3, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6e454f95c8190b023c5d141999dd8 completed May 3, 2026, 5:59 a.m.
Created at: April 9, 2026, 9:09 p.m.