Triple

T8601690
Position Surface form Disambiguated ID Type / Status
Subject Brussels–Amsterdam E203690 entity
Predicate operator P179 FINISHED
Object Eurostar Group E39296 NE FINISHED

How this triple was built (2 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: Eurostar Group | Statement: [Brussels–Amsterdam, operator, Eurostar Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurostar Group
Context triple: [Brussels–Amsterdam, operator, Eurostar Group]
  • A. Abellio
    Abellio is a Dutch-based public transport company that operates train and bus services in the United Kingdom and parts of Europe.
  • B. Eurostar chosen
    Eurostar is a high-speed international train service connecting the United Kingdom with mainland Europe via the Channel Tunnel, linking cities such as London, Paris, and Brussels.
  • C. Francorail
    Francorail was a French railway manufacturing consortium known for producing high-speed trainsets, including early models of the TGV.
  • D. Groupe Eurotunnel
    Groupe Eurotunnel was the former name of Getlink, the company that operates and manages the Channel Tunnel rail link between the United Kingdom and France.
  • E. Rail Cargo Group
    Rail Cargo Group is the freight transport and logistics division of the Austrian Federal Railways (ÖBB), providing rail-based cargo services across Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46da609881909a6d851915e8df14 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f13f7081908317c1b2d87a51b2 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.