Triple

T14265806
Position Surface form Disambiguated ID Type / Status
Subject BVG E353639 entity
Predicate mobileApp P14571 FINISHED
Object BVG Tickets
BVG Tickets is a mobile application that allows users to purchase and manage public transport tickets for Berlin’s BVG network directly on their smartphones.
 E353639 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: BVG Tickets | Statement: [BVG, mobileApp, BVG Tickets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BVG Tickets
Context triple: [BVG, mobileApp, BVG Tickets]
  • A. BVG
    BVG is Berlin’s main public transport company, operating the city’s U-Bahn, trams, buses, and ferries.
  • B. Munich S-Bahn
    The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, Germany.
  • C. Vienna S-Bahn
    The Vienna S-Bahn is a suburban rail network serving Vienna and its surrounding regions, providing frequent commuter connections that integrate with the city’s public transport system.
  • D. BahnTower
    BahnTower is a prominent high-rise office building in Berlin that serves as the headquarters of Deutsche Bahn and forms part of the modern Potsdamer Platz complex.
  • E. Hamburger Hochbahn
    Hamburger Hochbahn is a major public transport company in Hamburg, Germany, responsible for operating much of the city's U-Bahn (subway) and bus network.
  • 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: BVG Tickets
Triple: [BVG, mobileApp, BVG Tickets]
Generated description
BVG Tickets is a mobile application that allows users to purchase and manage public transport tickets for Berlin’s BVG network directly on their smartphones.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BVG Tickets
Target entity description: BVG Tickets is a mobile application that allows users to purchase and manage public transport tickets for Berlin’s BVG network directly on their smartphones.
  • A. BVG chosen
    BVG is Berlin’s main public transport company, operating the city’s U-Bahn, trams, buses, and ferries.
  • B. Munich S-Bahn
    The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, Germany.
  • C. Vienna S-Bahn
    The Vienna S-Bahn is a suburban rail network serving Vienna and its surrounding regions, providing frequent commuter connections that integrate with the city’s public transport system.
  • D. BahnTower
    BahnTower is a prominent high-rise office building in Berlin that serves as the headquarters of Deutsche Bahn and forms part of the modern Potsdamer Platz complex.
  • E. Hamburger Hochbahn
    Hamburger Hochbahn is a major public transport company in Hamburg, Germany, responsible for operating much of the city's U-Bahn (subway) and bus network.
  • F. None of above.

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_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd3417e8e88190b099bfe4ba30f364 completed May 8, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69fd37df3dfc8190a594abb2c14e11bb completed May 8, 2026, 1:09 a.m.
Created at: April 10, 2026, 1:09 a.m.