Triple

T21385481
Position Surface form Disambiguated ID Type / Status
Subject Mielec E527482 entity
Predicate hasNearbyAirport P4363 FINISHED
Object Rzeszów–Jasionka 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: Rzeszów–Jasionka Airport | Statement: [Mielec, hasNearbyAirport, Rzeszów–Jasionka Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rzeszów–Jasionka Airport
Context triple: [Mielec, hasNearbyAirport, Rzeszów–Jasionka Airport]
  • A. Rzeszów–Jasionka Airport chosen
    Rzeszów–Jasionka Airport is an international airport in southeastern Poland serving the city of Rzeszów and the surrounding Subcarpathian region.
  • B. Poprad-Tatry Airport
    Poprad-Tatry Airport is a regional international airport in northern Slovakia that serves the High Tatras tourist area and nearby cities.
  • C. Kielce-Masłów Airport
    Kielce-Masłów Airport is a small regional airport in the Świętokrzyskie Voivodeship of Poland serving the city of Kielce and surrounding areas.
  • D. Lutsk Airport
    Lutsk Airport is a regional civil and military airfield serving the city of Lutsk and the surrounding area in western Ukraine.
  • E. Katowice Airport
    Katowice Airport is an international airport in southern Poland serving the Silesian region with domestic and European flights.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62c9494081909efa74e189454dc6 completed April 26, 2026, 7:08 p.m.
Created at: April 16, 2026, 5:12 p.m.