Triple

T9826862
Position Surface form Disambiguated ID Type / Status
Subject Krems an der Donau E238677 entity
Predicate hasPart P35 FINISHED
Object Krems-Süd
Krems-Süd is a district or locality forming part of the city of Krems an der Donau in Lower Austria.
 E822986 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: Krems-Süd | Statement: [Krems an der Donau, hasPart, Krems-Süd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krems-Süd
Context triple: [Krems an der Donau, hasPart, Krems-Süd]
  • A. Kößlarn
    Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
  • B. Pöchlarn
    Pöchlarn is a small town in Lower Austria best known as the birthplace of the expressionist painter Oskar Kokoschka.
  • C. Gumpoldskirchen
    Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
  • D. Schärding
    Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
  • E. Krailling
    Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
  • 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: Krems-Süd
Triple: [Krems an der Donau, hasPart, Krems-Süd]
Generated description
Krems-Süd is a district or locality forming part of the city of Krems an der Donau in Lower Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krems-Süd
Target entity description: Krems-Süd is a district or locality forming part of the city of Krems an der Donau in Lower Austria.
  • A. Kößlarn
    Kößlarn is a small Bavarian municipality in southeastern Germany known for its rural character and location near the Austrian border.
  • B. Pöchlarn
    Pöchlarn is a small town in Lower Austria best known as the birthplace of the expressionist painter Oskar Kokoschka.
  • C. Gumpoldskirchen
    Gumpoldskirchen is a historic wine-growing town in Lower Austria, renowned for its traditional vineyards and picturesque setting near Vienna.
  • D. Schärding
    Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
  • E. Krailling
    Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb324e7848190b9424a78ca653afe completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc88a86c819088f259a049eec4db completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cdba64d08190bf0b83d419c4461b completed April 5, 2026, 2:49 a.m.
NED2 Entity disambiguation (via description) batch_69d1ce526a2c819098b103ad83c19445 completed April 5, 2026, 2:52 a.m.
Created at: March 30, 2026, 8:32 p.m.