Triple

T13147004
Position Surface form Disambiguated ID Type / Status
Subject Leknes E312365 entity
Predicate hasAirport P105 FINISHED
Object Leknes Airport E312370 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: Leknes Airport | Statement: [Leknes, hasAirport, Leknes Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leknes Airport
Context triple: [Leknes, hasAirport, Leknes Airport]
  • A. Leknes Airport chosen
    Leknes Airport is a small regional airport in Norway’s Lofoten archipelago that provides vital domestic connections for residents and tourists.
  • B. 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.
  • C. Berlevåg Airport
    Berlevåg Airport is a small regional airport in Berlevåg, Norway, primarily serving local communities with short-haul domestic flights along the northern coast.
  • D. Bardufoss Airport
    Bardufoss Airport is a regional airport in northern Norway that serves the town of Bardufoss and the surrounding Troms area, handling both civilian and military air traffic.
  • E. Kjeller Airport
    Kjeller Airport is a historic general aviation airfield in Norway known as one of the world’s oldest still-operating airports and a center for aviation heritage and training.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72660f8d48190b437a57f2a75f6ae completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:10 p.m.