Triple

T14376889
Position Surface form Disambiguated ID Type / Status
Subject Tórshavn E356497 entity
Predicate hasDistrict P459 FINISHED
Object Hoyvík E1097779 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: Hoyvík | Statement: [Tórshavn, hasDistrict, Hoyvík]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoyvík
Context triple: [Tórshavn, hasDistrict, Hoyvík]
  • A. Hoyvík chosen
    Hoyvík is a suburban district of Tórshavn in the Faroe Islands, known for its residential areas, educational institutions, and proximity to the capital’s center.
  • B. Hvalvík
    Hvalvík is a small coastal village in the Faroe Islands known for its traditional wooden church and scenic fjord-side setting.
  • C. Leirvík
    Leirvík is a coastal village and important fishing community on the Faroe Islands, located on the island of Eysturoy.
  • D. Klaksvík
    Klaksvík is the second-largest town in the Faroe Islands, known as an important fishing and commercial center located on the island of Borðoy.
  • E. Æðuvík
    Æðuvík is a small coastal village on the Faroe Islands’ island of Eysturoy, known for its scenic seaside setting and traditional Faroese character.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc0c9708190b5025e9675e0e925 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:16 a.m.