Triple

T2429866
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Borough of Manchester E52815 entity
Predicate hasRailNetwork P522 FINISHED
Object Northern Trains E9865 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: Northern Trains | Statement: [Metropolitan Borough of Manchester, hasRailNetwork, Northern Trains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Trains
Context triple: [Metropolitan Borough of Manchester, hasRailNetwork, Northern Trains]
  • A. Northern Trains chosen
    Northern Trains is a British train operating company that runs local and regional passenger rail services across Northern England.
  • B. Northern Rail
    Northern Rail is a British train operating company providing regional and commuter rail services across Northern England.
  • C. Virgin Trains
    Virgin Trains was a British train operating company under Richard Branson’s Virgin Group brand that ran long-distance passenger rail services in the UK.
  • D. London North Eastern Railway
    London North Eastern Railway is a British train operating company that runs long-distance passenger services on the East Coast Main Line between London and destinations in northern England and Scotland.
  • 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: hasRailNetwork
Context triple: [Metropolitan Borough of Manchester, hasRailNetwork, Northern Trains]
  • A. hasRailSystem chosen
    Indicates that an entity possesses or is served by a rail-based transportation system.
  • B. railroadNetwork
    Indicates a relationship where locations are connected as part of the same system of railway lines and infrastructure used for train transport.
  • C. usesRailInfrastructureOf
    Indicates that one entity operates on, accesses, or otherwise makes use of the rail infrastructure owned or managed by another entity.
  • D. hasRackRailway
    Indicates that one entity possesses or includes a rack railway system connecting locations or operating within its area.
  • E. railNetworkRole
    Indicates the specific function or responsibility an entity has within a rail network 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abcc74a5108190a3a9631b0cc1a127 completed March 7, 2026, 6:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf32014c8190aa3cfea010c3bb39 completed March 10, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69abc5aa1b60819081b87f7985c6cff3 completed March 7, 2026, 6:28 a.m.
Created at: March 6, 2026, 9:43 p.m.