Triple

T3775481
Position Surface form Disambiguated ID Type / Status
Subject Vienna International Centre E83295 entity
Predicate locatedIn P40 FINISHED
Object Kaisermühlen
Kaisermühlen is a district of Vienna, Austria, known for its modern developments along the Danube and for hosting major international institutions.
 E386467 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: Kaisermühlen | Statement: [Vienna International Centre, locatedIn, Kaisermühlen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaisermühlen
Context triple: [Vienna International Centre, locatedIn, Kaisermühlen]
  • A. Grevesmühlen
    Grevesmühlen is a small town in the German state of Mecklenburg-Vorpommern, known as a local administrative and service center in the north of the country.
  • B. Meuselwitz
    Meuselwitz is a small town in the German state of Thuringia, known historically for its lignite mining and industrial heritage.
  • C. Lippendorf
    Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
  • D. Oberkrämer
    Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
  • E. Cölln
    Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
  • 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: Kaisermühlen
Triple: [Vienna International Centre, locatedIn, Kaisermühlen]
Generated description
Kaisermühlen is a district of Vienna, Austria, known for its modern developments along the Danube and for hosting major international institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaisermühlen
Target entity description: Kaisermühlen is a district of Vienna, Austria, known for its modern developments along the Danube and for hosting major international institutions.
  • A. Grevesmühlen
    Grevesmühlen is a small town in the German state of Mecklenburg-Vorpommern, known as a local administrative and service center in the north of the country.
  • B. Meuselwitz
    Meuselwitz is a small town in the German state of Thuringia, known historically for its lignite mining and industrial heritage.
  • C. Lippendorf
    Lippendorf is a village in Saxony, Germany, historically notable as the birthplace of Katharina von Bora, the wife of Martin Luther.
  • D. Oberkrämer
    Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
  • E. Cölln
    Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5ac9688190bc921cd3ba1d0580 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e53209888190823412fabacbc914 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e60c23608190977198b6344ff09d completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e686bf2c8190aac01d6c1014c1d4 completed March 14, 2026, 4:39 a.m.
Created at: March 8, 2026, 3:36 p.m.