Triple

T14266169
Position Surface form Disambiguated ID Type / Status
Subject U9 E353649 entity
Predicate terminusStation P15150 FINISHED
Object Osloer Straße
Osloer Straße is a Berlin U-Bahn station in the Gesundbrunnen district that serves as an important interchange between lines U8 and U9.
E1108895 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: Osloer Straße | Statement: [U9, terminusStation, Osloer Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osloer Straße
Context triple: [U9, terminusStation, Osloer Straße]
  • A. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • B. Golßener Straße
    Golßener Straße is a street in Berlin, Germany, located in the Neukölln area near Columbiadamm and the former Tempelhof Airport grounds.
  • C. Brienner Straße
    Brienner Straße is a historic boulevard in Munich, Germany, known for its neoclassical architecture and its role as one of the city’s grand royal avenues.
  • D. Otisstraße
    Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district of the city.
  • E. Neuhauser Straße
    Neuhauser Straße is a major pedestrian shopping street in Munich’s city center, known for its historic buildings, retail stores, and role as part of the main east–west thoroughfare.
  • 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: Osloer Straße
Triple: [U9, terminusStation, Osloer Straße]
Generated description
Osloer Straße is a Berlin U-Bahn station in the Gesundbrunnen district that serves as an important interchange between lines U8 and U9.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Osloer Straße
Target entity description: Osloer Straße is a Berlin U-Bahn station in the Gesundbrunnen district that serves as an important interchange between lines U8 and U9.
  • A. Grunerstraße
    Grunerstraße is a central street in Berlin located near Alexanderplatz, known for carrying heavy traffic through the city’s Mitte district.
  • B. Golßener Straße
    Golßener Straße is a street in Berlin, Germany, located in the Neukölln area near Columbiadamm and the former Tempelhof Airport grounds.
  • C. Brienner Straße
    Brienner Straße is a historic boulevard in Munich, Germany, known for its neoclassical architecture and its role as one of the city’s grand royal avenues.
  • D. Otisstraße
    Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district of the city.
  • E. Neuhauser Straße
    Neuhauser Straße is a major pedestrian shopping street in Munich’s city center, known for its historic buildings, retail stores, and role as part of the main east–west thoroughfare.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd949df6688190ac92f7e0945bce02 completed May 8, 2026, 7:45 a.m.
NEDg Description generation batch_69fd9818cc6081908f2b628abd983973 completed May 8, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69fd98b320108190b7d4c43bfd4038fb completed May 8, 2026, 8:02 a.m.
Created at: April 10, 2026, 1:09 a.m.