Triple

T13118713
Position Surface form Disambiguated ID Type / Status
Subject Vadsø Airport E311666 entity
Predicate hasScheduledServiceTo P6787 FINISHED
Object Vardø Airport E798445 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: Vardø Airport | Statement: [Vadsø Airport, hasScheduledServiceTo, Vardø Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vardø Airport
Context triple: [Vadsø Airport, hasScheduledServiceTo, Vardø Airport]
  • A. Båtsfjord Airport
    Båtsfjord Airport is a small regional airport in Finnmark, Norway, primarily serving local communities and connecting them to other airports in the region.
  • B. Vardø Airport, Svartnes chosen
    Vardø Airport, Svartnes is a small regional airport in Norway serving the town of Vardø and the surrounding area in Finnmark.
  • C. Honningsvåg Airport
    Honningsvåg Airport is a small regional airport in northern Norway that primarily serves the town of Honningsvåg and provides access to the North Cape area.
  • D. Bojnord Airport
    Bojnord Airport is a regional public airport serving the city of Bojnord and the surrounding area in northeastern Iran.
  • E. Bodø Airport
    Bodø Airport is a regional airport in Bodø, Norway, serving as an important hub for civilian flights and military aviation in the Nordland region.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f0ff20081909f277d9c8dc8b043 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:06 p.m.