Triple

T18454134
Position Surface form Disambiguated ID Type / Status
Subject Arlanda railway station complex E450859 entity
Predicate locatedIn P40 FINISHED
Object Uppland 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: Uppland | Statement: [Arlanda railway station complex, locatedIn, Uppland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uppland
Context triple: [Arlanda railway station complex, locatedIn, Uppland]
  • A. Uppland chosen
    Uppland is a historical province in east-central Sweden that includes parts of the greater Stockholm area and key infrastructure such as Stockholm Arlanda Airport.
  • B. Södermanland
    Södermanland is a historical province in eastern Sweden, located south of Lake Mälaren and west of the Baltic Sea, known for its castles, lakes, and early Swedish cultural heritage.
  • C. Dalsland
    Dalsland is a historical province in western Sweden known for its forests, lakes, and rural landscapes.
  • D. Bohuslän
    Bohuslän is a coastal province in western Sweden known for its rugged granite shoreline, fishing villages, and archipelago along the Skagerrak.
  • E. Botkyrka region
    The Botkyrka region is a municipality in Stockholm County, Sweden, known for its cultural diversity and historical association with the medieval saint Botvid.
  • 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.