Triple

T8269180
Position Surface form Disambiguated ID Type / Status
Subject Lutsk Airport E193377 entity
Predicate hasAlternativeName P39 FINISHED
Object Lutsk military airfield E193377 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: Lutsk military airfield | Statement: [Lutsk Airport, hasAlternativeName, Lutsk military airfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lutsk military airfield
Context triple: [Lutsk Airport, hasAlternativeName, Lutsk military airfield]
  • A. Lutsk Airport chosen
    Lutsk Airport is a regional civil and military airfield serving the city of Lutsk and the surrounding area in western Ukraine.
  • B. Zhytomyr Airport
    Zhytomyr Airport is a regional civil airport serving the city of Zhytomyr in northwestern Ukraine.
  • C. Kbely Air Base
    Kbely Air Base is a major military airfield near Prague that serves as one of the principal operational and logistical hubs of the Czech Air Force.
  • D. Zavitinsk air base
    Zavitinsk air base is a Russian military airfield in Amur Oblast that has historically hosted strategic bomber units.
  • E. Vinnytsia International Airport
    Vinnytsia International Airport is a regional civil airport in central Ukraine that serves the city of Vinnytsia and its surrounding areas with domestic and limited international flights.
  • 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_69ca82e14ae481908ffdb822cd2192bc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795127ac81908196008f5579f83f completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc6c1451881909cfed1e27b57847c completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:50 p.m.