Triple

T7998643
Position Surface form Disambiguated ID Type / Status
Subject Alexanderplatz station E186189 entity
Predicate servedBy P82 FINISHED
Object U5 line
The U5 line is a major Berlin U-Bahn route running east–west that connects central hubs like Alexanderplatz with eastern districts of the city.
 E707970 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: U5 line | Statement: [Alexanderplatz station, servedBy, U5 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U5 line
Context triple: [Alexanderplatz station, servedBy, U5 line]
  • A. U6 line
    The U6 line is a route of the Frankfurt U-Bahn rapid transit system that connects various districts across the city, including central hubs such as Hauptwache.
  • B. U4 line
    The U4 line is one of Berlin's U-Bahn subway lines, running a short route in the inner city and connecting key stations including Nollendorfplatz.
  • C. U1 line
    The U1 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with several northern suburbs.
  • D. U7 line
    The U7 line is a route of the Frankfurt U-Bahn rapid transit system that runs across the city and serves major central stations including Hauptwache.
  • E. U3 line
    The U3 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northwestern suburbs.
  • 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: U5 line
Triple: [Alexanderplatz station, servedBy, U5 line]
Generated description
The U5 line is a major Berlin U-Bahn route running east–west that connects central hubs like Alexanderplatz with eastern districts of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: U5 line
Target entity description: The U5 line is a major Berlin U-Bahn route running east–west that connects central hubs like Alexanderplatz with eastern districts of the city.
  • A. U6 line
    The U6 line is a route of the Frankfurt U-Bahn rapid transit system that connects various districts across the city, including central hubs such as Hauptwache.
  • B. U4 line
    The U4 line is one of Berlin's U-Bahn subway lines, running a short route in the inner city and connecting key stations including Nollendorfplatz.
  • C. U1 line
    The U1 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with several northern suburbs.
  • D. U7 line
    The U7 line is a route of the Frankfurt U-Bahn rapid transit system that runs across the city and serves major central stations including Hauptwache.
  • E. U3 line
    The U3 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northwestern suburbs.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c9a12788190a5607a538f4e07c1 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56910dd4819084ffe3350f15d95d completed March 31, 2026, 11:19 p.m.
NEDg Description generation batch_69cc58ecd0608190ab0880992bc203fb completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb2963c81908a8dfbb1f84845bc completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:17 p.m.