Triple

T15844996
Position Surface form Disambiguated ID Type / Status
Subject Helgeland coast E384191 entity
Predicate hasIsland P970 FINISHED
Object Lurøy 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: Lurøy | Statement: [Helgeland coast, hasIsland, Lurøy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lurøy
Context triple: [Helgeland coast, hasIsland, Lurøy]
  • A. Lurøy chosen
    Lurøy is a coastal municipality in Nordland county, Norway, known for its scattered islands, fishing communities, and scenic Arctic landscapes.
  • B. Dillingøy
    Dillingøy is an island located in southeastern Norway, within the coastal area of Moss in Østfold/Viken county.
  • C. Sørkjosen
    Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
  • D. Lysnes
    Lysnes is a small coastal village in northern Norway, situated within the former Lenvik municipality in Troms county.
  • E. Solevåg
    Solevåg is a village in Sula Municipality in Møre og Romsdal county, Norway, known for its coastal setting near the town of Ålesund.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142eb20088190bb45e37ce3291ef2 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:50 a.m.