Triple

T1439326
Position Surface form Disambiguated ID Type / Status
Subject Checkpoint Charlie E31032 entity
Predicate near P350 FINISHED
Object Zimmerstraße
Zimmerstraße is a street in central Berlin, Germany, historically significant for running along the former Berlin Wall and passing by the famous Checkpoint Charlie border crossing.
 E167095 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: Zimmerstraße | Statement: [Checkpoint Charlie, near, Zimmerstraße]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zimmerstraße
Context triple: [Checkpoint Charlie, near, Zimmerstraße]
  • A. Scharnweberstraße
    Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
  • B. Schwartzkopffstraße
    Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
  • C. Otisstraße
    Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district of the city.
  • D. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • 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: Zimmerstraße
Triple: [Checkpoint Charlie, near, Zimmerstraße]
Generated description
Zimmerstraße is a street in central Berlin, Germany, historically significant for running along the former Berlin Wall and passing by the famous Checkpoint Charlie border crossing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zimmerstraße
Target entity description: Zimmerstraße is a street in central Berlin, Germany, historically significant for running along the former Berlin Wall and passing by the famous Checkpoint Charlie border crossing.
  • A. Scharnweberstraße
    Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
  • B. Schwartzkopffstraße
    Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
  • C. Otisstraße
    Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district of the city.
  • D. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c506d5ac8190b4c5b394c6d3f414 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e6e12748190baeb91ba843a716f completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0ed1fb608190a9295808e144d0fb completed March 8, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69ad0f90cdec81908a981e12184cdd75 completed March 8, 2026, 5:56 a.m.
Created at: March 1, 2026, 8 p.m.