Triple

T4071423
Position Surface form Disambiguated ID Type / Status
Subject Václav Havel Airport Prague E86655 entity
Predicate operator P179 FINISHED
Object Letiště Praha, a. s. 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: Letiště Praha, a. s. | Statement: [Václav Havel Airport Prague, operator, Letiště Praha, a. s.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Letiště Praha, a. s.
Context triple: [Václav Havel Airport Prague, operator, Letiště Praha, a. s.]
  • A. Czech Airlines
    Czech Airlines is the national flag carrier of the Czech Republic, operating scheduled passenger flights across Europe and to select long-haul destinations.
  • B. Hradec Králové Airport
    Hradec Králové Airport is a regional civil and general aviation airport serving the city of Hradec Králové in the Czech Republic.
  • C. 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.
  • D. Václav Havel Airport Prague chosen
    Václav Havel Airport Prague is the main international airport serving Prague and the largest airport in the Czech Republic.
  • 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 (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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc20ed788190bd935082a348a05d completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b99e84819085e1616fb9a61465 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.