Triple

T568677
Position Surface form Disambiguated ID Type / Status
Subject Berlin U-Bahn line U6 E13613 entity
Predicate hasStation P35 FINISHED
Object Ullsteinstraße
Ullsteinstraße is a Berlin U-Bahn station on the U6 line located in the Tempelhof area of the city.
 E75503 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: Ullsteinstraße | Statement: [Berlin U-Bahn line U6, hasStation, Ullsteinstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ullsteinstraße
Context triple: [Berlin U-Bahn line U6, hasStation, Ullsteinstraße]
  • A. Friedrichstraße
    Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
  • B. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • C. Schwartzkopffstraße
    Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
  • D. Scharnweberstraße
    Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
  • E. Bahnhofstraße
    Bahnhofstraße is a central street in Chemnitz, Germany, known for serving as the main access route to Chemnitz Hauptbahnhof, the city's primary railway station.
  • 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: Ullsteinstraße
Triple: [Berlin U-Bahn line U6, hasStation, Ullsteinstraße]
Generated description
Ullsteinstraße is a Berlin U-Bahn station on the U6 line located in the Tempelhof area of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ullsteinstraße
Target entity description: Ullsteinstraße is a Berlin U-Bahn station on the U6 line located in the Tempelhof area of the city.
  • A. Friedrichstraße
    Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
  • B. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • C. Schwartzkopffstraße
    Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
  • D. Scharnweberstraße
    Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
  • E. Bahnhofstraße
    Bahnhofstraße is a central street in Chemnitz, Germany, known for serving as the main access route to Chemnitz Hauptbahnhof, the city's primary railway station.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b0406d481908af5fc7bc67103fb completed March 1, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69a523853a648190bdf48e8148fa642b completed March 2, 2026, 5:43 a.m.
NEDg Description generation batch_69a5240e2fa8819099d13bf88b1eeddc completed March 2, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69a5246681e081909d4991614a5ff6d7 completed March 2, 2026, 5:47 a.m.
Created at: March 1, 2026, 7:33 p.m.