Triple

T21513345
Position Surface form Disambiguated ID Type / Status
Subject U8 E530781 entity
Predicate hasStation P35 FINISHED
Object Leinestraße
Leinestraße is a Berlin U-Bahn station on the U8 line located in the Neukölln district.
 E1505822 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: Leinestraße | Statement: [U8, hasStation, Leinestraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leinestraße
Context triple: [U8, hasStation, Leinestraße]
  • A. Sambesistraße
    Sambesistraße is a street in Berlin’s Afrikanisches Viertel, a neighborhood known for roads named after African regions, rivers, and countries.
  • B. Elbestraße
    Elbestraße is a street in Frankfurt am Main’s central Bahnhofsviertel district, known for its nightlife, diverse culture, and proximity to the main train station.
  • C. Bleibtreustraße
    Bleibtreustraße is a well-known street in Berlin’s Charlottenburg district, noted for its mix of shops, cafés, and historic residential buildings.
  • D. Poccistraße
    Poccistraße is a street in Munich, Germany, located in the city’s central area and serving as the namesake for the nearby U-Bahn station.
  • E. Langenstraße
    Langenstraße is a district or neighborhood within the town of Rüthen in North Rhine-Westphalia, 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: Leinestraße
Triple: [U8, hasStation, Leinestraße]
Generated description
Leinestraße is a Berlin U-Bahn station on the U8 line located in the Neukölln district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leinestraße
Target entity description: Leinestraße is a Berlin U-Bahn station on the U8 line located in the Neukölln district.
  • A. Sambesistraße
    Sambesistraße is a street in Berlin’s Afrikanisches Viertel, a neighborhood known for roads named after African regions, rivers, and countries.
  • B. Elbestraße
    Elbestraße is a street in Frankfurt am Main’s central Bahnhofsviertel district, known for its nightlife, diverse culture, and proximity to the main train station.
  • C. Bleibtreustraße
    Bleibtreustraße is a well-known street in Berlin’s Charlottenburg district, noted for its mix of shops, cafés, and historic residential buildings.
  • D. Poccistraße
    Poccistraße is a street in Munich, Germany, located in the city’s central area and serving as the namesake for the nearby U-Bahn station.
  • E. Langenstraße
    Langenstraße is a district or neighborhood within the town of Rüthen in North Rhine-Westphalia, 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea88e6fc8190a4b73b8d32dae5a8 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a528a11448190a374778a839bfebf completed May 17, 2026, 11:43 p.m.
NEDg Description generation batch_6a0a5344b4348190978a0ada3a8025eb completed May 17, 2026, 11:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0a53d01aa08190896c7229b8ea50da completed May 17, 2026, 11:48 p.m.
Created at: April 16, 2026, 6:25 p.m.