Triple

T17368677
Position Surface form Disambiguated ID Type / Status
Subject Ruzyně E422250 entity
Predicate formerNameOfAirport P65 FINISHED
Object Prague Ruzyně 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: Prague Ruzyně Airport | Statement: [Ruzyně, formerNameOfAirport, Prague Ruzyně Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prague Ruzyně Airport
Context triple: [Ruzyně, formerNameOfAirport, Prague Ruzyně Airport]
  • A. Pardubice Airport
    Pardubice Airport is a regional international airport in the Czech Republic that serves both civilian and military air traffic.
  • 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. Ruzyně Airport chosen
    Ruzyně Airport is the former name of Prague's main international airport, now known as Václav Havel Airport Prague, serving as the primary air gateway to the Czech Republic.
  • E. 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.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6790448190a24047523a019f81 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.