Triple

T17112259
Position Surface form Disambiguated ID Type / Status
Subject Kaunas Airport E415253 entity
Predicate locatedIn P40 FINISHED
Object Kaunas County 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: Kaunas County | Statement: [Kaunas Airport, locatedIn, Kaunas County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaunas County
Context triple: [Kaunas Airport, locatedIn, Kaunas County]
  • A. Kaunas County chosen
    Kaunas County is an administrative region in central Lithuania that encompasses the country’s second-largest city, Kaunas, and serves as an important economic and cultural hub.
  • B. Klaipėda County
    Klaipėda County is a coastal administrative region in western Lithuania that includes the port city of Klaipėda and surrounding areas on the Baltic Sea.
  • C. Marijampolė County
    Marijampolė County is an administrative region in southern Lithuania known for its agricultural landscape and the city of Marijampolė as its capital.
  • D. Vilnius County
    Vilnius County is an administrative region in southeastern Lithuania that encompasses the nation’s capital, Vilnius, and serves as one of the country’s primary economic and cultural centers.
  • E. Tauragė County
    Tauragė County is an administrative region in western Lithuania known for its small industrial centers and proximity to the border with Kaliningrad Oblast (Russia).
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2bab0881908339ec7fb3ebe7e9 completed April 18, 2026, 7:31 p.m.
Created at: April 10, 2026, 5:35 a.m.