Triple

T13398212
Position Surface form Disambiguated ID Type / Status
Subject Moskenesøya E319755 entity
Predicate connectedTo P37 FINISHED
Object Austvågøya E313264 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: Austvågøya | Statement: [Moskenesøya, connectedTo, Austvågøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Austvågøya
Context triple: [Moskenesøya, connectedTo, Austvågøya]
  • A. Austvågøy chosen
    Austvågøy is a large island in northern Norway known for its dramatic mountains, fishing villages, and role as part of the scenic Lofoten archipelago.
  • B. Vestvågøy
    Vestvågøy is a major island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal scenery.
  • C. Tjeldøya
    Tjeldøya is an island in northern Norway known for its rugged coastal landscape and location within the Ofoten region.
  • D. Andøya
    Andøya is a large Norwegian island in Nordland county, known for its dramatic coastal landscapes, space center, and rich bird and whale-watching opportunities.
  • E. Edgeøya
    Edgeøya is one of the large, remote islands in the Svalbard archipelago of Arctic Norway, known for its rugged tundra landscape and rich polar wildlife.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d9e7348190844e11dd6cbd13b0 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe729766008190803c1dfef2c8c872 completed May 8, 2026, 11:32 p.m.
Created at: April 9, 2026, 9:34 p.m.