Triple

T14100708
Position Surface form Disambiguated ID Type / Status
Subject Øresund Line E339371 entity
Predicate operator P179 FINISHED
Object Öresundståg E633576 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: Öresundståg | Statement: [Øresund Line, operator, Öresundståg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Öresundståg
Context triple: [Øresund Line, operator, Öresundståg]
  • A. Öresundståg network chosen
    The Öresundståg network is a regional rail system serving southern Sweden and Denmark, providing cross-border passenger connections around the Öresund region.
  • B. Arlanda Line
    The Arlanda Line is a Swedish railway route that connects Stockholm with Stockholm Arlanda Airport, providing high-speed rail access to the airport.
  • C. Arlanda Express
    Arlanda Express is a high-speed train service that provides rapid passenger transport between central Stockholm and Stockholm Arlanda Airport.
  • D. Gothenburg commuter rail
    Gothenburg commuter rail is a regional rail network serving the Gothenburg metropolitan area in Sweden, connecting the city with surrounding suburbs and nearby towns.
  • E. 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.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b108908190b4b408f21ecb877a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.