Triple

T754323
Position Surface form Disambiguated ID Type / Status
Subject Fürth Hauptbahnhof E15519 entity
Predicate owner P347 FINISHED
Object DB Netz
DB Netz is the infrastructure division of Deutsche Bahn responsible for operating and maintaining Germany’s national railway network.
 E88661 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: DB Netz | Statement: [Fürth Hauptbahnhof, owner, DB Netz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DB Netz
Context triple: [Fürth Hauptbahnhof, owner, DB Netz]
  • A. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • B. ADB
    ADB is a regional multilateral development bank that promotes economic growth and cooperation in Asia and the Pacific through loans, grants, and technical assistance.
  • C. EDB
    EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
  • D. Canvas Network
    Canvas Network is an online learning platform that hosts and delivers massive open online courses (MOOCs) from universities and institutions worldwide.
  • E. RDS
    RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
  • 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: DB Netz
Triple: [Fürth Hauptbahnhof, owner, DB Netz]
Generated description
DB Netz is the infrastructure division of Deutsche Bahn responsible for operating and maintaining Germany’s national railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DB Netz
Target entity description: DB Netz is the infrastructure division of Deutsche Bahn responsible for operating and maintaining Germany’s national railway network.
  • A. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • B. ADB
    ADB is a regional multilateral development bank that promotes economic growth and cooperation in Asia and the Pacific through loans, grants, and technical assistance.
  • C. EDB
    EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
  • D. Canvas Network
    Canvas Network is an online learning platform that hosts and delivers massive open online courses (MOOCs) from universities and institutions worldwide.
  • E. RDS
    RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64ecadc8190a82e25444e7abba6 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654eae9608190af3b410ecc041660 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a65555e7748190b2a55548e4058bc1 completed March 3, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_69a656d5f28481908ff3fd5fb71b1440 completed March 3, 2026, 3:34 a.m.
Created at: March 1, 2026, 7:37 p.m.