Triple

T11111172
Position Surface form Disambiguated ID Type / Status
Subject Enter Air E262757 entity
Predicate hasHub P2413 FINISHED
Object Katowice Airport E398185 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: Katowice Airport | Statement: [Enter Air, hasHub, Katowice Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katowice Airport
Context triple: [Enter Air, hasHub, Katowice Airport]
  • A. Katowice Airport chosen
    Katowice Airport is an international airport in southern Poland serving the Silesian region with domestic and European flights.
  • B. Lublin Airport
    Lublin Airport is a regional international airport in eastern Poland serving the city of Lublin and its surrounding area.
  • C. Copernicus Airport Wrocław
    Copernicus Airport Wrocław is an international airport serving the city of Wrocław in southwestern Poland, handling passenger and cargo flights to various domestic and European destinations.
  • D. 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.
  • E. John Paul II International Airport Kraków–Balice
    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.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6849dbff08190a352eaaea8606bdb completed April 20, 2026, 7:55 p.m.
Created at: April 8, 2026, 9:27 p.m.