Triple

T1901937
Position Surface form Disambiguated ID Type / Status
Subject High Speed 1 E37707 entity
Predicate enablesServiceBetween P6304 FINISHED
Object London and Paris E199941 NE FINISHED

How this triple was built (3 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 and Paris | Statement: [High Speed 1, enablesServiceBetween, London and Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London and Paris
Context triple: [High Speed 1, enablesServiceBetween, London and Paris]
  • A. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • B. London–Paris chosen
    London–Paris is a major international rail route connecting the capitals of the United Kingdom and France via the Channel Tunnel.
  • C. Allondon
    Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
  • D. London–Brussels
    London–Brussels is a major international high-speed rail route linking the United Kingdom and Belgium via the Channel Tunnel.
  • E. London–Lyon
    London–Lyon is an international high-speed rail route linking the United Kingdom’s capital with the major city of Lyon in east-central France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enablesServiceBetween
Context triple: [High Speed 1, enablesServiceBetween, London and Paris]
  • A. enablesCommunicationBetween
    Indicates that one entity provides the means or capability for communication to occur between two or more other entities.
  • B. enablesCommunicationWith
    Indicates that one entity provides the means or capability for another entity to communicate with a specified party or system.
  • C. serviceWith
    Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
  • D. integratesService
    Indicates that one entity connects with and enables the functionality of another service so they work together as a unified system.
  • E. operatesServiceTo chosen
    Indicates that one entity runs or provides a transportation or service route to another entity or location.
  • F. None of above.

Provenance (4 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaf558148190b920693e2348190f completed March 8, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69abafe9f8b0819086d8f6288511c66d completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.