Triple

T13147221
Position Surface form Disambiguated ID Type / Status
Subject Leknes Airport E312370 entity
Predicate serves P98 FINISHED
Object Vestvågøy E315834 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: Vestvågøy | Statement: [Leknes Airport, serves, Vestvågøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vestvågøy
Context triple: [Leknes Airport, serves, Vestvågøy]
  • A. Vestvågøy chosen
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • B. Austvågøy
    Austvågøy is a large island in northern Norway known for its dramatic mountains, fishing villages, and role as part of the scenic Lofoten archipelago.
  • C. Vesterøy
    Vesterøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal landscapes and holiday cottages.
  • D. Vannøya
    Vannøya is a large island in northern Norway known for its rugged coastal landscape, fishing communities, and Arctic climate.
  • E. Spjærøy
    Spjærøy is one of the main inhabited islands in the Hvaler archipelago in southeastern Norway, known for its coastal scenery and holiday cottages.
  • 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_69f7c0d3cf3881908fdfc56bd31e5fe2 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:10 p.m.