Triple

T12498001
Position Surface form Disambiguated ID Type / Status
Subject Malmö E298741 entity
Predicate hasAirport P105 FINISHED
Object Malmö Airport E363152 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: Malmö Airport | Statement: [Malmö, hasAirport, Malmö Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malmö Airport
Context triple: [Malmö, hasAirport, Malmö Airport]
  • A. Malmö Airport chosen
    Malmö Airport is an international airport in southern Sweden serving the city of Malmö and the wider Øresund Region, including nearby parts of Denmark.
  • B. Uppsala Airport
    Uppsala Airport is a Swedish airfield near the city of Uppsala, primarily used for military and general aviation rather than large-scale commercial passenger traffic.
  • C. Stockholm Bromma Airport
    Stockholm Bromma Airport is a regional airport near central Stockholm, Sweden, primarily serving domestic and short-haul European flights.
  • D. Gothenburg Landvetter Airport
    Gothenburg Landvetter Airport is the main international airport serving the Gothenburg region in western Sweden.
  • E. Gothenburg City Airport
    Gothenburg City Airport is a regional airport serving the Gothenburg area in western Sweden.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64baf73188190af29b57f8ae9253f completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.