Triple

T17046601
Position Surface form Disambiguated ID Type / Status
Subject Prague Region E413585 entity
Predicate hasTransportHub P2413 FINISHED
Object Prague Václav Havel Airport E86655 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: Prague Václav Havel Airport | Statement: [Prague Region, hasTransportHub, Prague Václav Havel Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prague Václav Havel Airport
Context triple: [Prague Region, hasTransportHub, Prague Václav Havel Airport]
  • A. Václav Havel Airport Prague chosen
    Václav Havel Airport Prague is the main international airport serving Prague and the largest airport in the Czech Republic.
  • B. Karlovy Vary Airport
    Karlovy Vary Airport is a regional international airport in the Czech Republic serving the spa city of Karlovy Vary and its surrounding area.
  • C. Hradec Králové Airport
    Hradec Králové Airport is a regional civil and general aviation airport serving the city of Hradec Králové in the Czech Republic.
  • D. Pardubice Airport
    Pardubice Airport is a regional international airport in the Czech Republic that serves both civilian and military air traffic.
  • E. Leoš Janáček Airport Ostrava
    Leoš Janáček Airport Ostrava is an international airport in the Czech Republic serving the city of Ostrava and the surrounding Moravian-Silesian region.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9e3d8881909f197aba0e4c97e7 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a018c36b32c8190a365b7b80207978c completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:33 a.m.