Triple

T19661612
Position Surface form Disambiguated ID Type / Status
Subject Schottenring E472093 entity
Predicate near P350 FINISHED
Object Rossauer Lände
Rossauer Lände is a station on Vienna’s U-Bahn network located along the Danube Canal in the city’s central area.
E1388187 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: Rossauer Lände | Statement: [Schottenring, near, Rossauer Lände]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rossauer Lände
Context triple: [Schottenring, near, Rossauer Lände]
  • A. Rossau
    Rossau is a municipality in the German state of Saxony, located within the rural district of Mittelsachsen.
  • B. Löwenberger Land
    Löwenberger Land is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its agricultural landscape and small villages north of Berlin.
  • C. Molauer Land
    Molauer Land is a small municipality in the Burgenlandkreis district of Saxony-Anhalt, Germany, situated within the broader Leipzig metropolitan region.
  • D. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • 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: Rossauer Lände
Triple: [Schottenring, near, Rossauer Lände]
Generated description
Rossauer Lände is a station on Vienna’s U-Bahn network located along the Danube Canal in the city’s central area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rossauer Lände
Target entity description: Rossauer Lände is a station on Vienna’s U-Bahn network located along the Danube Canal in the city’s central area.
  • A. Rossau
    Rossau is a municipality in the German state of Saxony, located within the rural district of Mittelsachsen.
  • B. Löwenberger Land
    Löwenberger Land is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its agricultural landscape and small villages north of Berlin.
  • C. Molauer Land
    Molauer Land is a small municipality in the Burgenlandkreis district of Saxony-Anhalt, Germany, situated within the broader Leipzig metropolitan region.
  • D. Wiedensahl
    Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414a667c81909aad04a737773c7e completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ef7a9ec8190a86623fbd0c9fe00 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a07817a4748819081bbeff65e18d533 completed May 15, 2026, 8:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0782a6f66881909f88781f8f6c5b8f completed May 15, 2026, 8:31 p.m.
Created at: April 10, 2026, 1:45 p.m.