Triple

T11788521
Position Surface form Disambiguated ID Type / Status
Subject RVN E280331 entity
Predicate isCodeFor P9567 FINISHED
Object Rovaniemi Airport E284135 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: Rovaniemi Airport | Statement: [RVN, isCodeFor, Rovaniemi Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rovaniemi Airport
Context triple: [RVN, isCodeFor, Rovaniemi Airport]
  • A. Rovaniemi Airport chosen
    Rovaniemi Airport is a major civilian and seasonal tourist airport in Finnish Lapland, known as one of the primary gateways to the Arctic Circle and Santa Claus Village.
  • B. Kuusamo Airport
    Kuusamo Airport is a regional airport in northeastern Finland that serves the town of Kuusamo and nearby tourist destinations such as the Ruka ski resort.
  • C. Kemi-Tornio Airport
    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.
  • 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 (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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a587c2d881909297c3a6c7d26080 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4715720e08190a3bc1b4fc888fe79 completed May 1, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:42 p.m.