Triple

T4784231
Position Surface form Disambiguated ID Type / Status
Subject ESSB E106436 entity
Predicate operator P179 FINISHED
Object Swedavia E111378 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: Swedavia | Statement: [ESSB, operator, Swedavia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swedavia
Context triple: [ESSB, operator, Swedavia]
  • A. Swedavia chosen
    Swedavia is a Swedish state-owned company that owns, operates, and develops several of Sweden’s major airports.
  • B. Sweden
    Sweden is a Nordic country in Northern Europe known for its high standard of living, strong welfare state, and long-standing policy of neutrality.
  • C. Gustafs, Sweden
    Gustafs is a small locality in Dalarna County, central Sweden, known as a rural community within the municipality of Säter.
  • D. Nordavia
    Nordavia was a Russian regional airline that rebranded as Smartavia, operating domestic and some international routes primarily from northern Russia.
  • E. Svealand
    Svealand is the central region of Sweden, historically significant as the country's core area and home to the capital city, Stockholm.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65ae49ec81908f16248d22d1155f completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67c4460c81909d93ea5fcfa200e2 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:22 p.m.