Triple

T4688837
Position Surface form Disambiguated ID Type / Status
Subject Arlanda Central Station E103984 entity
Predicate railwayLine P848 FINISHED
Object Arlanda Line E450860 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: Arlanda Line | Statement: [Arlanda Central Station, railwayLine, Arlanda Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arlanda Line
Context triple: [Arlanda Central Station, railwayLine, Arlanda Line]
  • A. Arlanda Line chosen
    The Arlanda Line is a Swedish railway route that connects Stockholm with Stockholm Arlanda Airport, providing high-speed rail access to the airport.
  • B. Arlanda Express
    Arlanda Express is a high-speed train service that provides rapid passenger transport between central Stockholm and Stockholm Arlanda Airport.
  • C. Stockholm commuter rail
    Stockholm commuter rail is a regional rail network serving the greater Stockholm area, connecting the city with its suburbs and surrounding municipalities.
  • D. Roslagsbanan
    Roslagsbanan is a narrow-gauge suburban railway line in the Stockholm region of Sweden that provides commuter rail services to several northern suburbs.
  • E. Gardermoen Line
    The Gardermoen Line is a high-speed railway in Norway that connects Oslo with Oslo Airport and further north, serving as a key part of the country’s intercity and airport rail network.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6399621881909aa8ffb1c27284e9 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39d43ffc8190b1e6caf34d5eaf0d completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:16 p.m.