Triple

T20137891
Position Surface form Disambiguated ID Type / Status
Subject airBaltic E491072 entity
Predicate focusCity P164 FINISHED
Object Vilnius 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: Vilnius Airport | Statement: [airBaltic, focusCity, Vilnius Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilnius Airport
Context triple: [airBaltic, focusCity, Vilnius Airport]
  • A. Vilnius Airport chosen
    Vilnius Airport is the main international airport serving Lithuania’s capital, handling the majority of the region’s passenger and air traffic.
  • B. Kaunas Airport
    Kaunas Airport is an international airport in Lithuania serving the city of Kaunas and functioning as one of the country’s main commercial and low-cost airline hubs.
  • C. Palanga Airport
    Palanga Airport is a regional international airport in western Lithuania serving the coastal resort city of Palanga and the surrounding Baltic Sea region.
  • D. Ventspils International Airport
    Ventspils International Airport is a regional airport in Ventspils, Latvia, serving as an air transport hub for the city and surrounding Kurzeme region.
  • E. Liepāja International Airport
    Liepāja International Airport is a regional airport in western Latvia that serves the city of Liepāja with domestic and limited international flights.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6676879f48190a59da04393d2a8cc completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.