Triple

T13262564
Position Surface form Disambiguated ID Type / Status
Subject Vestvågøy E315834 entity
Predicate connectedTo P37 FINISHED
Object Flakstadøya E318747 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: Flakstadøya | Statement: [Vestvågøy, connectedTo, Flakstadøya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flakstadøya
Context triple: [Vestvågøy, connectedTo, Flakstadøya]
  • A. Flakstadøya chosen
    Flakstadøya is a scenic island in Norway’s Lofoten archipelago, known for its dramatic mountains, fishing villages, and coastal landscapes.
  • B. Storøya
    Storøya is an island located in the lake Tyrifjorden in Norway.
  • C. 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.
  • D. Hornøya
    Hornøya is a small Norwegian island in the Barents Sea renowned as an important seabird sanctuary and the easternmost point of mainland Norway’s territory.
  • E. Sundøya
    Sundøya is an island located in Tyrifjorden, a large lake in southeastern Norway.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901b380881909e6520fbb6811084 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd19226eb881908f76134a04e72548 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 9:25 p.m.