Triple

T5701986
Position Surface form Disambiguated ID Type / Status
Subject Nightjet E125684 entity
Predicate hasRoute P4374 FINISHED
Object Vienna–Amsterdam
Vienna–Amsterdam is an international overnight train route connecting Austria’s capital with the Netherlands’ largest city.
 E547761 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: Vienna–Amsterdam | Statement: [Nightjet, hasRoute, Vienna–Amsterdam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vienna–Amsterdam
Context triple: [Nightjet, hasRoute, Vienna–Amsterdam]
  • A. Vienna–Hamburg
    Vienna–Hamburg is an international overnight rail connection linking Austria’s capital with the major German port city of Hamburg.
  • B. Paris–Amsterdam
    Paris–Amsterdam is a major international high-speed rail route linking the capitals of France and the Netherlands.
  • C. Vienna–Brussels
    Vienna–Brussels is an international overnight rail connection linking Austria’s capital with Belgium’s capital, served by ÖBB’s Nightjet sleeper trains.
  • D. Paris–Vienna
    Paris–Vienna is the classic international rail corridor linking the French and Austrian capitals, historically served by luxury trains such as the Orient Express.
  • E. Frankfurt–Brussels
    Frankfurt–Brussels is a major international high-speed rail route linking Germany and Belgium, commonly served by InterCityExpress (ICE) trains.
  • 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: Vienna–Amsterdam
Triple: [Nightjet, hasRoute, Vienna–Amsterdam]
Generated description
Vienna–Amsterdam is an international overnight train route connecting Austria’s capital with the Netherlands’ largest city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vienna–Amsterdam
Target entity description: Vienna–Amsterdam is an international overnight train route connecting Austria’s capital with the Netherlands’ largest city.
  • A. Vienna–Hamburg
    Vienna–Hamburg is an international overnight rail connection linking Austria’s capital with the major German port city of Hamburg.
  • B. Paris–Amsterdam
    Paris–Amsterdam is a major international high-speed rail route linking the capitals of France and the Netherlands.
  • C. Vienna–Brussels
    Vienna–Brussels is an international overnight rail connection linking Austria’s capital with Belgium’s capital, served by ÖBB’s Nightjet sleeper trains.
  • D. Paris–Vienna
    Paris–Vienna is the classic international rail corridor linking the French and Austrian capitals, historically served by luxury trains such as the Orient Express.
  • E. Frankfurt–Brussels
    Frankfurt–Brussels is a major international high-speed rail route linking Germany and Belgium, commonly served by InterCityExpress (ICE) trains.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0245581988190a819b8137533ed31 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097e576a481909b918bfc93082fa9 completed March 23, 2026, 1:31 a.m.
NEDg Description generation batch_69c0996cf9a08190949257d9e394083e completed March 23, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c099ca3f6881909792e123219b4e77 completed March 23, 2026, 1:39 a.m.
Created at: March 22, 2026, 3:45 p.m.