Triple

T16913916
Position Surface form Disambiguated ID Type / Status
Subject Smartwings E410272 entity
Predicate focusCity P164 FINISHED
Object Ostrava Leoš Janáček Airport E172961 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: Ostrava Leoš Janáček Airport | Statement: [Smartwings, focusCity, Ostrava Leoš Janáček Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostrava Leoš Janáček Airport
Context triple: [Smartwings, focusCity, Ostrava Leoš Janáček Airport]
  • A. Leoš Janáček Airport Ostrava chosen
    Leoš Janáček Airport Ostrava is an international airport in the Czech Republic serving the city of Ostrava and the surrounding Moravian-Silesian region.
  • B. Olomouc Airport
    Olomouc Airport is a regional airfield serving the city of Olomouc in the Czech Republic, primarily used for general aviation and smaller aircraft operations.
  • 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. 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.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0170dd38708190b17cee0ab6cee6eb completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:30 a.m.