Triple

T1781330
Position Surface form Disambiguated ID Type / Status
Subject Eurostar E39296 entity
Predicate offersService P178 FINISHED
Object London–Lille
London–Lille is a high-speed international rail route linking the UK capital with the northern French city of Lille via the Channel Tunnel.
E199942 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–Lille | Statement: [Eurostar, offersService, London–Lille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London–Lille
Context triple: [Eurostar, offersService, London–Lille]
  • A. Paris–Lille
    Paris–Lille is a major high-speed rail corridor in northern France connecting the capital Paris with the city of Lille.
  • B. London–Edinburgh
    London–Edinburgh is a major intercity rail corridor in the United Kingdom linking the capital of England with the capital of Scotland.
  • C. Lille Europe
    Lille Europe is a major high-speed railway station in Lille, France, serving international Eurostar and TGV services between the UK and continental Europe.
  • D. New York–Paris
    New York–Paris is a major transatlantic air route connecting the United States and France, linking New York City with the French capital.
  • E. London–Aberdeen
    London–Aberdeen is a long-distance rail corridor in the United Kingdom linking the capital city of London with the northeastern Scottish city of Aberdeen.
  • 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–Lille
Triple: [Eurostar, offersService, London–Lille]
Generated description
London–Lille is a high-speed international rail route linking the UK capital with the northern French city of Lille via the Channel Tunnel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: London–Lille
Target entity description: London–Lille is a high-speed international rail route linking the UK capital with the northern French city of Lille via the Channel Tunnel.
  • A. Paris–Lille
    Paris–Lille is a major high-speed rail corridor in northern France connecting the capital Paris with the city of Lille.
  • B. London–Edinburgh
    London–Edinburgh is a major intercity rail corridor in the United Kingdom linking the capital of England with the capital of Scotland.
  • C. Lille Europe
    Lille Europe is a major high-speed railway station in Lille, France, serving international Eurostar and TGV services between the UK and continental Europe.
  • D. New York–Paris
    New York–Paris is a major transatlantic air route connecting the United States and France, linking New York City with the French capital.
  • E. London–Aberdeen
    London–Aberdeen is a long-distance rail corridor in the United Kingdom linking the capital city of London with the northeastern Scottish city of Aberdeen.
  • 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_69ada99f52a08190854109d152c22be0 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab04b5688190afb3418e9b9da845 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeaf81e881908f99f5d948e3557b completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.