Triple

T21032596
Position Surface form Disambiguated ID Type / Status
Subject Hisingen E518099 entity
Predicate contains P35 FINISHED
Object Göteborg City Airport (former commercial airport) 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: Göteborg City Airport (former commercial airport) | Statement: [Hisingen, contains, Göteborg City Airport (former commercial airport)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Göteborg City Airport (former commercial airport)
Context triple: [Hisingen, contains, Göteborg City Airport (former commercial airport)]
  • A. Gothenburg City Airport chosen
    Gothenburg City Airport is a regional airport serving the Gothenburg area in western Sweden.
  • B. Gothenburg Landvetter Airport
    Gothenburg Landvetter Airport is the main international airport serving the Gothenburg region in western Sweden.
  • C. Norrköping Airport
    Norrköping Airport is a regional airport in Norrköping, Sweden, serving domestic and limited international flights for the surrounding area.
  • D. Västerås Airport
    Västerås Airport is a regional airport in Västerås, Sweden, serving both commercial and general aviation traffic and acting as an alternative gateway to the Stockholm area.
  • E. Örebro Airport
    Örebro Airport is a regional airport in central Sweden that handles both passenger traffic and significant cargo operations.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc83828c81909c1ec745c0313c9f completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:56 p.m.