Triple

T15937032
Position Surface form Disambiguated ID Type / Status
Subject Donaustadt E386464 entity
Predicate contains P35 FINISHED
Object Kagraner Platz
Kagraner Platz is a public square and major transport hub in Vienna’s 22nd district, Donaustadt.
E1224244 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: Kagraner Platz | Statement: [Donaustadt, contains, Kagraner Platz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kagraner Platz
Context triple: [Donaustadt, contains, Kagraner Platz]
  • A. Rosenheimer Platz
    Rosenheimer Platz is a central square and transport hub in Munich’s Haidhausen district, known for its busy S-Bahn station and surrounding shops and cafes.
  • B. Karolinenplatz
    Karolinenplatz is a prominent square in central Munich, Germany, known for its circular layout and the Obelisk monument commemorating Bavarian soldiers who died in Napoleon’s Russian campaign.
  • C. Steintorplatz
    Steintorplatz is a public square in Hanover, Germany, known as an urban landmark area that hosts notable modern architecture such as the Gehry Tower.
  • D. Barfüsserplatz
    Barfüsserplatz is a central public square in Basel, Switzerland, known as a major tram hub and venue for markets and city events.
  • E. Königsplatz
    Königsplatz is a historic square in Munich, Germany, renowned for its neoclassical architecture and prominent museums forming part of the city’s cultural 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: Kagraner Platz
Triple: [Donaustadt, contains, Kagraner Platz]
Generated description
Kagraner Platz is a public square and major transport hub in Vienna’s 22nd district, Donaustadt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kagraner Platz
Target entity description: Kagraner Platz is a public square and major transport hub in Vienna’s 22nd district, Donaustadt.
  • A. Rosenheimer Platz
    Rosenheimer Platz is a central square and transport hub in Munich’s Haidhausen district, known for its busy S-Bahn station and surrounding shops and cafes.
  • B. Karolinenplatz
    Karolinenplatz is a prominent square in central Munich, Germany, known for its circular layout and the Obelisk monument commemorating Bavarian soldiers who died in Napoleon’s Russian campaign.
  • C. Steintorplatz
    Steintorplatz is a public square in Hanover, Germany, known as an urban landmark area that hosts notable modern architecture such as the Gehry Tower.
  • D. Barfüsserplatz
    Barfüsserplatz is a central public square in Basel, Switzerland, known as a major tram hub and venue for markets and city events.
  • E. Königsplatz
    Königsplatz is a historic square in Munich, Germany, renowned for its neoclassical architecture and prominent museums forming part of the city’s cultural 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ab7f548190b2d1aafa0e6d2c24 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9849a08190a575f19e816e6df2 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007ec876ac8190afae26442f8b2a9a completed May 10, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a007f3bf6e081908554238d069d9abc completed May 10, 2026, 12:51 p.m.
Created at: April 10, 2026, 4:53 a.m.