Triple

T18908257
Position Surface form Disambiguated ID Type / Status
Subject LKHK E462524 entity
Predicate identifies P310 FINISHED
Object Hradec Králové 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: Hradec Králové Airport | Statement: [LKHK, identifies, Hradec Králové Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hradec Králové Airport
Context triple: [LKHK, identifies, Hradec Králové Airport]
  • A. Hradec Králové Airport chosen
    Hradec Králové Airport is a regional civil and general aviation airport serving the city of Hradec Králové in the Czech Republic.
  • B. Pardubice Airport
    Pardubice Airport is a regional international airport in the Czech Republic that serves both civilian and military air traffic.
  • C. 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.
  • D. 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.
  • E. Brno–Tuřany Airport
    Brno–Tuřany Airport is an international airport serving the city of Brno in the South Moravian Region of the Czech Republic.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52eed1881908929dace845ae008 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.