Triple

T1781329
Position Surface form Disambiguated ID Type / Status
Subject Eurostar E39296 entity
Predicate offersService P178 FINISHED
Object London–Amsterdam
London–Amsterdam is a major international rail route connecting the capital cities of the United Kingdom and the Netherlands.
 E207640 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: London–Amsterdam | Statement: [Eurostar, offersService, London–Amsterdam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: London–Amsterdam
Context triple: [Eurostar, offersService, London–Amsterdam]
  • A. Paris–Amsterdam
    Paris–Amsterdam is a major international high-speed rail route linking the capitals of France and the Netherlands.
  • B. London–Brussels
    London–Brussels is a major international high-speed rail route linking the United Kingdom and Belgium via the Channel Tunnel.
  • C. London–Paris
    London–Paris is a major international rail route connecting the capitals of the United Kingdom and France via the Channel Tunnel.
  • D. Brussels–Amsterdam
    Brussels–Amsterdam is a major international high-speed rail route connecting the capitals of Belgium and the Netherlands.
  • E. Amsterdam
    Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
  • 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: London–Amsterdam
Triple: [Eurostar, offersService, London–Amsterdam]
Generated description
London–Amsterdam is a major international rail route connecting the capital cities of the United Kingdom and the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: London–Amsterdam
Target entity description: London–Amsterdam is a major international rail route connecting the capital cities of the United Kingdom and the Netherlands.
  • A. Paris–Amsterdam
    Paris–Amsterdam is a major international high-speed rail route linking the capitals of France and the Netherlands.
  • B. London–Brussels
    London–Brussels is a major international high-speed rail route linking the United Kingdom and Belgium via the Channel Tunnel.
  • C. London–Paris
    London–Paris is a major international rail route connecting the capitals of the United Kingdom and France via the Channel Tunnel.
  • D. Brussels–Amsterdam
    Brussels–Amsterdam is a major international high-speed rail route connecting the capitals of Belgium and the Netherlands.
  • E. Amsterdam
    Amsterdam is the largest city in the Netherlands, renowned as a historic commercial and cultural center characterized by its canals, trading heritage, and role as the country’s principal metropolis.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e22d6881909ba6ec120b320918 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1b8e26c8190af6e45265e2b182f completed March 8, 2026, 7:44 p.m.
NEDg Description generation batch_69add29b34048190bee7908ac6c650e4 completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add35731588190a13c969490ca2c09 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:31 p.m.