Triple

T7853798
Position Surface form Disambiguated ID Type / Status
Subject Skedsmo E182120 entity
Predicate hasRailwayConnection P13914 FINISHED
Object Trunk Line E508937 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: Trunk Line | Statement: [Skedsmo, hasRailwayConnection, Trunk Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trunk Line
Context triple: [Skedsmo, hasRailwayConnection, Trunk Line]
  • A. Trunk Line chosen
    The Trunk Line is one of Norway’s oldest and most important railway lines, connecting Oslo with surrounding regions and serving key towns such as Jessheim.
  • B. City Line
    City Line is a suburban railway route serving various districts within Cardiff, Wales, as part of the local commuter rail network.
  • C. City Line
    City Line is a residential neighborhood in eastern Brooklyn, New York City, located near the borough’s border with Queens.
  • D. City Line
    City Line is a suburban and regional rail route serving Liverpool and surrounding areas as part of the Merseyrail and wider North West rail network.
  • E. Chase Line
    The Chase Line is a suburban railway route in Staffordshire and the West Midlands, England, connecting towns such as Rugeley with larger urban centres like Birmingham.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ed56d481909266d862e0ae152d completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b1e9e808190a0eb2dea5288e743 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:51 p.m.