Triple

T17308783
Position Surface form Disambiguated ID Type / Status
Subject Friedrichshain-Kreuzberg E420234 entity
Predicate hasPublicTransport P1288 FINISHED
Object U1 line
The U1 line is one of Berlin’s U-Bahn metro lines, running primarily east–west and serving central districts including Friedrichshain-Kreuzberg.
 E1261902 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: U1 line | Statement: [Friedrichshain-Kreuzberg, hasPublicTransport, U1 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U1 line
Context triple: [Friedrichshain-Kreuzberg, hasPublicTransport, U1 line]
  • A. U1 line
    The U1 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with several northern suburbs.
  • B. U3 line
    The U3 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northwestern suburbs.
  • C. U1 metro line
    The U1 metro line is one of Vienna’s main underground lines, running north–south through the city and connecting key districts and transport hubs.
  • D. 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.
  • E. 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.
  • 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: U1 line
Triple: [Friedrichshain-Kreuzberg, hasPublicTransport, U1 line]
Generated description
The U1 line is one of Berlin’s U-Bahn metro lines, running primarily east–west and serving central districts including Friedrichshain-Kreuzberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: U1 line
Target entity description: The U1 line is one of Berlin’s U-Bahn metro lines, running primarily east–west and serving central districts including Friedrichshain-Kreuzberg.
  • A. U1 line
    The U1 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with several northern suburbs.
  • B. U3 line
    The U3 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northwestern suburbs.
  • C. U1 metro line
    The U1 metro line is one of Vienna’s main underground lines, running north–south through the city and connecting key districts and transport hubs.
  • D. 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.
  • E. 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.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43900eca88190930af0e4ec4fc0f9 completed April 19, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e30934819087b7c838c8874aff completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0185a7e5188190a15d835019fc226f completed May 11, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0186504460819097f80978b03c7296 completed May 11, 2026, 7:33 a.m.
Created at: April 10, 2026, 5:43 a.m.