Triple

T16913917
Position Surface form Disambiguated ID Type / Status
Subject Smartwings E410272 entity
Predicate focusCity P164 FINISHED
Object Bratislava Airport E98841 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: Bratislava Airport | Statement: [Smartwings, focusCity, Bratislava Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bratislava Airport
Context triple: [Smartwings, focusCity, Bratislava Airport]
  • A. Bratislava Airport chosen
    Bratislava Airport is the main international airport serving Slovakia’s capital city, handling passenger and cargo flights for the Bratislava region.
  • B. Košice International Airport
    Košice International Airport is the main commercial airport serving the city of Košice and eastern Slovakia, offering domestic and international passenger and cargo flights.
  • C. Žilina Airport
    Žilina Airport is a regional public airport in northern Slovakia that serves the city of Žilina and its surrounding area with domestic and limited international flights.
  • D. Poprad-Tatry Airport
    Poprad-Tatry Airport is a regional international airport in northern Slovakia that serves the High Tatras tourist area and nearby cities.
  • 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_6a017932fd5481909bf3c63409fd6da6 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:30 a.m.