Triple

T9942339
Position Surface form Disambiguated ID Type / Status
Subject Wilmersdorf E194112 entity
Predicate publicTransport P1288 FINISHED
Object U9 line
The U9 line is a major Berlin U-Bahn subway route running north–south through the city and serving districts such as Wilmersdorf.
 E830729 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: U9 line | Statement: [Wilmersdorf, publicTransport, U9 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U9 line
Context triple: [Wilmersdorf, publicTransport, U9 line]
  • A. 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.
  • B. 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.
  • 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. 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.
  • 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: U9 line
Triple: [Wilmersdorf, publicTransport, U9 line]
Generated description
The U9 line is a major Berlin U-Bahn subway route running north–south through the city and serving districts such as Wilmersdorf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: U9 line
Target entity description: The U9 line is a major Berlin U-Bahn subway route running north–south through the city and serving districts such as Wilmersdorf.
  • A. 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.
  • B. 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.
  • 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. 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.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6124a188190b41feadb7b2f8922 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d22911a9ac81909caa2afb30e4860b completed April 5, 2026, 9:19 a.m.
NEDg Description generation batch_69d22ad44b748190a774a2b2f8d5fabf completed April 5, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69d22b37ce8481909a52a144605d44a4 completed April 5, 2026, 9:28 a.m.
Created at: March 30, 2026, 8:45 p.m.