Triple

T11737611
Position Surface form Disambiguated ID Type / Status
Subject Schwechat E279069 entity
Predicate hasNeighbour P5707 FINISHED
Object Rannersdorf
Rannersdorf is a village and cadastral community that forms part of the town of Schwechat in Lower Austria, near Vienna.
E979991 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: Rannersdorf | Statement: [Schwechat, hasNeighbour, Rannersdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rannersdorf
Context triple: [Schwechat, hasNeighbour, Rannersdorf]
  • A. Oberwaltersdorf
    Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
  • B. Gänserndorf
    Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
  • C. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • D. Maffersdorf
    Maffersdorf is a former village in the Liberec region of what is now the Czech Republic, historically part of Bohemia and known as the birthplace of automotive engineer Ferdinand Porsche.
  • E. Jägerndorf
    Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
  • 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: Rannersdorf
Triple: [Schwechat, hasNeighbour, Rannersdorf]
Generated description
Rannersdorf is a village and cadastral community that forms part of the town of Schwechat in Lower Austria, near Vienna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rannersdorf
Target entity description: Rannersdorf is a village and cadastral community that forms part of the town of Schwechat in Lower Austria, near Vienna.
  • A. Oberwaltersdorf
    Oberwaltersdorf is a municipality in Lower Austria known for its residential character, proximity to Vienna, and local wine-growing and leisure facilities.
  • B. Gänserndorf
    Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
  • C. Kiliansdorf
    Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
  • D. Maffersdorf
    Maffersdorf is a former village in the Liberec region of what is now the Czech Republic, historically part of Bohemia and known as the birthplace of automotive engineer Ferdinand Porsche.
  • E. Jägerndorf
    Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4ef1c4881909ad36dc27b1fe193 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6344b938c8190877bd3140ad904e9 completed May 2, 2026, 5:28 p.m.
NEDg Description generation batch_69f6356b545c819089a5f5b901afc5f2 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f636382ffc8190becfae41757a45d8 completed May 2, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:41 p.m.