Triple

T18454150
Position Surface form Disambiguated ID Type / Status
Subject Arlanda railway station complex E450859 entity
Predicate connectsTo P845 FINISHED
Object Märsta station NE NERFINISHED

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: Märsta station | Statement: [Arlanda railway station complex, connectsTo, Märsta station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Märsta station
Context triple: [Arlanda railway station complex, connectsTo, Märsta station]
  • A. Märsta Station chosen
    Märsta Station is a key suburban railway hub in the town of Märsta, serving as a northern terminus and important node in the Stockholm commuter rail network.
  • B. Stäket station
    Stäket station is a local railway stop serving the Stäket area within Järfälla Municipality in the Stockholm region of Sweden.
  • C. Unna station
    Unna station is the main railway station serving the town of Unna in North Rhine-Westphalia, Germany, providing regional and local train connections.
  • D. Vinstra Station
    Vinstra Station is a railway station in the town of Vinstra in Innlandet county, Norway, serving as a stop on the Dovre Line.
  • E. Gnesta Station
    Gnesta Station is a key railway station in the town of Gnesta, Sweden, serving as an important terminus and hub on the Stockholm commuter rail network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264b200c8190be2e79ca5ea0b082 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.