Triple

T20747752
Position Surface form Disambiguated ID Type / Status
Subject Gänserndorf District E510630 entity
Predicate containsSettlement P847 FINISHED
Object Weikendorf
Weikendorf is a small municipality in Lower Austria, known for its rural character and location within the Gänserndorf District northeast of Vienna.
E1448682 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: Weikendorf | Statement: [Gänserndorf District, containsSettlement, Weikendorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weikendorf
Context triple: [Gänserndorf District, containsSettlement, Weikendorf]
  • A. Weisendorf
    Weisendorf is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
  • B. Wiesdorf
    Wiesdorf is a central district of the German city of Leverkusen, known for its commercial areas and proximity to major industrial facilities.
  • C. Wilhelmsdorf
    Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
  • D. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • E. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • 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: Weikendorf
Triple: [Gänserndorf District, containsSettlement, Weikendorf]
Generated description
Weikendorf is a small municipality in Lower Austria, known for its rural character and location within the Gänserndorf District northeast of Vienna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weikendorf
Target entity description: Weikendorf is a small municipality in Lower Austria, known for its rural character and location within the Gänserndorf District northeast of Vienna.
  • A. Weisendorf
    Weisendorf is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
  • B. Wiesdorf
    Wiesdorf is a central district of the German city of Leverkusen, known for its commercial areas and proximity to major industrial facilities.
  • C. Wilhelmsdorf
    Wilhelmsdorf is a village-level subdivision of the town of Usingen in the Hochtaunus district of Hesse, Germany.
  • D. Neuendorf
    Neuendorf is a small village on the Baltic Sea island of Hiddensee in Germany, known for its traditional thatched houses and maritime character.
  • E. Nordendorf
    Nordendorf is a small municipality in Bavaria, Germany, situated within the Augsburg district.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e84274d08190a851de1f415bcbc6 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e8fc1d6c819083f06debaa3bec24 completed May 16, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_6a08e98a594c8190b3a2d9ae7e3af4f7 completed May 16, 2026, 10:02 p.m.
Created at: April 16, 2026, 12:33 p.m.