Triple

T18587261
Position Surface form Disambiguated ID Type / Status
Subject KEM E454266 entity
Predicate denotes P129 FINISHED
Object Kemi-Tornio 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: Kemi-Tornio Airport | Statement: [KEM, denotes, Kemi-Tornio Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemi-Tornio Airport
Context triple: [KEM, denotes, Kemi-Tornio Airport]
  • A. Kemi-Tornio Airport chosen
    Kemi-Tornio Airport is a regional airport in Finnish Lapland serving the twin towns of Kemi and Tornio, providing domestic connections and access to the northern Arctic area.
  • B. Lappeenranta Airport
    Lappeenranta Airport is a regional airport in southeastern Finland that serves the city of Lappeenranta and provides both domestic and international flight connections.
  • C. Seinäjoki Airport
    Seinäjoki Airport is a regional airport in western Finland serving the city of Seinäjoki and the surrounding South Ostrobothnia area.
  • D. Pori Airport
    Pori Airport is a regional airport in Pori, Finland, serving domestic flights, pilot training, and general aviation.
  • E. Vaasa Airport
    Vaasa Airport is a regional airport in western Finland that serves the city of Vaasa and its surrounding area 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b2f20481908da74447cd08d5bd completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.