Triple

T13441838
Position Surface form Disambiguated ID Type / Status
Subject KRK E320380 entity
Predicate airportAlternativeName P22570 FINISHED
Object Krakow Airport E83025 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: Krakow Airport | Statement: [KRK, airportAlternativeName, Krakow Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krakow Airport
Context triple: [KRK, airportAlternativeName, Krakow Airport]
  • A. John Paul II International Airport Kraków–Balice chosen
    John Paul II International Airport Kraków–Balice is the main international airport serving Kraków and one of the busiest air transport hubs in southern Poland.
  • B. Lublin Airport
    Lublin Airport is a regional international airport in eastern Poland serving the city of Lublin and its surrounding area.
  • C. Katowice Airport
    Katowice Airport is an international airport in southern Poland serving the Silesian region with domestic and European flights.
  • D. Polonia International Airport
    Polonia International Airport was the former main airport serving Medan, Indonesia, before being replaced by Kualanamu International Airport.
  • E. Warsaw Chopin Airport
    Warsaw Chopin Airport is Poland’s largest and busiest international airport, serving as the primary aviation hub for the capital city of Warsaw.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee704ac8190b4c7f4e0d3a88494 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ad5c68881908264947993bc7811 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:40 p.m.