Triple

T9927660
Position Surface form Disambiguated ID Type / Status
Subject Klosterneuburg E187962 entity
Predicate hasSubdivision P747 FINISHED
Object Weidling
Weidling is a village and cadastral community that forms part of the town of Klosterneuburg in Lower Austria, known for its residential character and proximity to Vienna.
E829161 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: Weidling | Statement: [Klosterneuburg, hasSubdivision, Weidling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weidling
Context triple: [Klosterneuburg, hasSubdivision, Weidling]
  • A. Weidling
    Weidling is a German surname most notably associated with General Helmuth Weidling, the last commander of Berlin’s defenses in World War II.
  • B. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • C. Baltschieder
    Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
  • D. Eidlitz
    Eidlitz is a surname most notably associated with Leopold Eidlitz, a prominent 19th-century American architect.
  • E. Leißling
    Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
  • 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: Weidling
Triple: [Klosterneuburg, hasSubdivision, Weidling]
Generated description
Weidling is a village and cadastral community that forms part of the town of Klosterneuburg in Lower Austria, known for its residential character and proximity to Vienna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weidling
Target entity description: Weidling is a village and cadastral community that forms part of the town of Klosterneuburg in Lower Austria, known for its residential character and proximity to Vienna.
  • A. Weidling
    Weidling is a German surname most notably associated with General Helmuth Weidling, the last commander of Berlin’s defenses in World War II.
  • B. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • C. Baltschieder
    Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
  • D. Eidlitz
    Eidlitz is a surname most notably associated with Leopold Eidlitz, a prominent 19th-century American architect.
  • E. Leißling
    Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb59d7ad08190982a1584547190bd completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e1eace88190a591cbab02153869 completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d20ed2dea481909fd9a9dddac3daf1 completed April 5, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69d20fef723881909d8d57548461926f completed April 5, 2026, 7:31 a.m.
Created at: March 30, 2026, 8:43 p.m.