Triple

T8654608
Position Surface form Disambiguated ID Type / Status
Subject Ongar E205382 entity
Predicate formerRailOperator P84160 FINISHED
Object London Underground E9036 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 Underground | Statement: [Ongar, formerRailOperator, London Underground]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Underground
Context triple: [Ongar, formerRailOperator, London Underground]
  • A. London Underground chosen
    The London Underground is a rapid transit system serving Greater London and surrounding areas, famous as one of the world's oldest and most extensive metro networks.
  • B. London Overground
    London Overground is a suburban rail network in London that connects outer districts and some central hubs using a mix of newly built and former National Rail lines, integrated into the city’s public transport system.
  • C. District Railway
    The District Railway was a historic London underground railway company that developed much of what is now the District line, helping to form the core of the city's early subterranean transport network.
  • D. London Underground Metropolitan line
    The London Underground Metropolitan line is one of the network’s oldest and longest lines, running from central London into the north-west suburbs and beyond into Buckinghamshire.
  • E. London Passenger Transport Board
    The London Passenger Transport Board was the public body that managed and coordinated most of the capital’s bus, tram, trolleybus, and underground rail services in London from the 1930s until the late 1940s.
  • 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: formerRailOperator
Context triple: [Ongar, formerRailOperator, London Underground]
  • A. laterRailwayCompany
    Indicates that one railway company is the successor or later incarnation of another railway company.
  • B. formerRailroad
    Indicates that an entity was previously a railroad but no longer functions as one.
  • C. railwayCompany
    Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
  • D. formerRailwayLine
    Indicates that a railway line previously existed in the past but is no longer in operation or has been decommissioned.
  • E. operatedOnRailroad
    Indicates that an entity conducted operations or provided services on a railroad system.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48432568819093b9a867b4f62b78 completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc8b99cc8190b319a435f456ec05 completed April 2, 2026, 8:07 p.m.
PD Predicate disambiguation batch_69cc45619460819091e83ffdec99c865 completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc473e44988190a3b02498e5fff668 completed March 31, 2026, 10:14 p.m.
Created at: March 30, 2026, 6:29 p.m.