Triple

T7335933
Position Surface form Disambiguated ID Type / Status
Subject White Hart Lane station E169126 entity
Predicate lineOperator P5623 FINISHED
Object Arriva Rail London E22661 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: Arriva Rail London | Statement: [White Hart Lane station, lineOperator, Arriva Rail London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arriva Rail London
Context triple: [White Hart Lane station, lineOperator, Arriva Rail London]
  • A. Arriva UK Trains chosen
    Arriva UK Trains is a major British train operating company that manages several passenger rail franchises and services across the United Kingdom.
  • B. Thames Trains
    Thames Trains was a former British train operating company that provided regional and commuter rail services in the Thames Valley area of England in the late 1990s and early 2000s.
  • C. Greater Anglia
    Greater Anglia is a British train operating company that provides passenger rail services across East Anglia and parts of London and the East of England.
  • D. City Thameslink
    City Thameslink is a central London railway station on the Thameslink route, serving commuter and regional services through the City of London.
  • E. Arriva Trains Northern
    Arriva Trains Northern was a former British train operating company that provided regional and commuter rail services across Northern England.
  • 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: lineOperator
Context triple: [White Hart Lane station, lineOperator, Arriva Rail London]
  • A. wirelessOperator
    Indicates that an entity operates, manages, or provides services for a wireless communication system or network for another entity.
  • B. primaryOperator chosen
    Indicates that an entity serves as the main or leading operator responsible for performing or overseeing a specified operation or process in relation to another entity.
  • C. commercialOperator
    Indicates that an entity operates or manages a commercial activity, service, or facility, typically for profit or business purposes.
  • D. longDistanceOperator
    Indicates that an entity performs telephone or communication services that connect calls over long distances between different geographic areas.
  • E. otherOperator
    Indicates a relationship where one operator is distinguished from, or serves as an alternative to, another operator within the same context or system.
  • 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_69c68a568a6481908f11e20db7bc8446 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f347f25081908e6086d4073295f5 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef22d6ac819087f05d6e6787509a completed March 28, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69c6f028fd748190b2ea5c3081958a42 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:04 p.m.