Triple

T18194412
Position Surface form Disambiguated ID Type / Status
Subject Gothenburg Landvetter Airport E435619 entity
Predicate servesRegion P82 FINISHED
Object Västra Götaland 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: Västra Götaland | Statement: [Gothenburg Landvetter Airport, servesRegion, Västra Götaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Västra Götaland
Context triple: [Gothenburg Landvetter Airport, servesRegion, Västra Götaland]
  • A. Västra Götaland County chosen
    Västra Götaland County is a large administrative region in western Sweden that includes the city of Gothenburg and serves as an important hub for industry, culture, and transportation.
  • B. Västergötland
    Västergötland is a historical province in southwestern Sweden known for its varied landscapes, medieval heritage, and important industrial and urban centers.
  • C. Skåne
    Skåne is the southernmost historical province of Sweden, known for its fertile farmland, coastal landscapes, and cultural ties to both Sweden and Denmark.
  • D. Småland
    Småland is a historical province in southern Sweden known for its forests, lakes, traditional red cottages, and as the birthplace of IKEA founder Ingvar Kamprad.
  • E. Götaland
    Götaland is one of Sweden’s three major historical lands, encompassing the country’s southern regions and several of its largest cities.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d1eb1c81908c20b6d15e9c4e8e completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.