Triple

T15352822
Position Surface form Disambiguated ID Type / Status
Subject Hadsel Bridge E367095 entity
Predicate connects P390 FINISHED
Object Børøya 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: Børøya | Statement: [Hadsel Bridge, connects, Børøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Børøya
Context triple: [Hadsel Bridge, connects, Børøya]
  • A. Børøya chosen
    Børøya is a small Norwegian island in Nordland county that lies near Hadseløya and is part of the Vesterålen archipelago.
  • B. Barøya
    Barøya is an island located in northern Norway within the Ofotfjord, known for its rugged coastal landscape and Arctic maritime environment.
  • C. Sørøya
    Sørøya is a large, sparsely populated island in northern Norway known for its rugged coastal landscapes, rich fishing grounds, and opportunities for outdoor activities such as hiking and sea angling.
  • D. Brønnøya
    Brønnøya is a scenic island in the Oslofjord known for its holiday homes, nature trails, and car-free environment, located within the municipality of Asker in Norway.
  • E. Bjorøy
    Bjorøy is a small Norwegian island known for its coastal landscape and residential community in Vestland county.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
Created at: April 10, 2026, 3:17 a.m.