Triple

T1781328
Position Surface form Disambiguated ID Type / Status
Subject Eurostar E39296 entity
Predicate offersService P178 FINISHED
Object London–Brussels
London–Brussels is a major international high-speed rail route linking the United Kingdom and Belgium via the Channel Tunnel.
 E206256 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–Brussels | Statement: [Eurostar, offersService, London–Brussels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: London–Brussels
Context triple: [Eurostar, offersService, London–Brussels]
  • A. Paris–Brussels
    Paris–Brussels is a major international high-speed rail corridor linking the capitals of France and Belgium.
  • B. Brussels–Amsterdam
    Brussels–Amsterdam is a major international high-speed rail route connecting the capitals of Belgium and the Netherlands.
  • 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, Belgium
    Brussels, Belgium is the capital city of Belgium and a major political center of Europe, hosting key institutions such as the European Union and numerous international organizations.
  • E. Paris–Amsterdam
    Paris–Amsterdam is a major international high-speed rail route linking the capitals of France and the Netherlands.
  • 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–Brussels
Triple: [Eurostar, offersService, London–Brussels]
Generated description
London–Brussels is a major international high-speed rail route linking the United Kingdom and Belgium via the Channel Tunnel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: London–Brussels
Target entity description: London–Brussels is a major international high-speed rail route linking the United Kingdom and Belgium via the Channel Tunnel.
  • A. Paris–Brussels
    Paris–Brussels is a major international high-speed rail corridor linking the capitals of France and Belgium.
  • B. Brussels–Amsterdam
    Brussels–Amsterdam is a major international high-speed rail route connecting the capitals of Belgium and the Netherlands.
  • 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, Belgium
    Brussels, Belgium is the capital city of Belgium and a major political center of Europe, hosting key institutions such as the European Union and numerous international organizations.
  • E. Paris–Amsterdam
    Paris–Amsterdam is a major international high-speed rail route linking the capitals of France and the Netherlands.
  • 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_69adc9a4ee9c8190a6cdb5df16a48711 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcc272dbc81909d1f9b007ba19448 completed March 8, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_69adcc9b53c4819090cf0659377c001b completed March 8, 2026, 7:23 p.m.
Created at: March 4, 2026, 7:31 p.m.