Triple

T14266180
Position Surface form Disambiguated ID Type / Status
Subject U9 E353649 entity
Predicate hasStation P35 FINISHED
Object Amrumer Straße
Amrumer Straße is a Berlin U-Bahn station on the U9 line located in the Wedding district of the city.
E1111953 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: Amrumer Straße | Statement: [U9, hasStation, Amrumer Straße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amrumer Straße
Context triple: [U9, hasStation, Amrumer Straße]
  • A. Siesmayerstraße
    Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
  • B. Hedderichstraße
    Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
  • C. Vorbergstraße
    Vorbergstraße is a residential street located in the Akazienkiez neighborhood of Berlin’s Schöneberg district, known for its quiet, tree-lined character near the area’s lively cafés and shops.
  • D. Beusselstraße
    Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
  • E. Kröpeliner Straße
    Kröpeliner Straße is a major pedestrian shopping street in the historic center of Rostock, Germany, known for its shops, cafés, and role as a central venue for city events.
  • 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: Amrumer Straße
Triple: [U9, hasStation, Amrumer Straße]
Generated description
Amrumer Straße is a Berlin U-Bahn station on the U9 line located in the Wedding district of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amrumer Straße
Target entity description: Amrumer Straße is a Berlin U-Bahn station on the U9 line located in the Wedding district of the city.
  • A. Siesmayerstraße
    Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
  • B. Hedderichstraße
    Hedderichstraße is a street in Frankfurt am Main, Germany, located in the Sachsenhausen district and connected to the city’s public transport network.
  • C. Vorbergstraße
    Vorbergstraße is a residential street located in the Akazienkiez neighborhood of Berlin’s Schöneberg district, known for its quiet, tree-lined character near the area’s lively cafés and shops.
  • D. Beusselstraße
    Beusselstraße is a railway station in Berlin that serves the city's circular Ringbahn line and connects the surrounding Moabit area to the wider S-Bahn network.
  • E. Kröpeliner Straße
    Kröpeliner Straße is a major pedestrian shopping street in the historic center of Rostock, Germany, known for its shops, cafés, and role as a central venue for city events.
  • 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_69fdd5bb9a5881908eac6153c7eb623e completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd6c216648190a6602c17892a2407 completed May 8, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_69fdd79198108190a3e640eca97b082b completed May 8, 2026, 12:31 p.m.
Created at: April 10, 2026, 1:09 a.m.