Triple

T21113381
Position Surface form Disambiguated ID Type / Status
Subject Luleå Airport E520227 entity
Predicate alsoKnownAs P39 FINISHED
Object Luleå Airport Kallax 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: Luleå Airport Kallax | Statement: [Luleå Airport, alsoKnownAs, Luleå Airport Kallax]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luleå Airport Kallax
Context triple: [Luleå Airport, alsoKnownAs, Luleå Airport Kallax]
  • A. Luleå Airport chosen
    Luleå Airport is a major civilian and military airport in northern Sweden serving the city of Luleå and the wider Norrbotten region.
  • B. Skellefteå Airport
    Skellefteå Airport is a regional airport in northern Sweden serving the city of Skellefteå with domestic and limited international flights.
  • C. Umeå Airport
    Umeå Airport is a regional airport in northern Sweden serving the city of Umeå with domestic and limited international flights.
  • D. Gällivare Airport
    Gällivare Airport is a regional airport in northern Sweden that serves the town of Gällivare and the surrounding Lapland area with domestic flights.
  • E. Örnsköldsvik Airport
    Örnsköldsvik Airport is a regional airport in northern Sweden that serves the town of Örnsköldsvik and surrounding areas with domestic flights and air transport services.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72103b3888190a19e9a40f01fb439 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.