Triple

T20649676
Position Surface form Disambiguated ID Type / Status
Subject Line 28 at Österskär E507453 entity
Predicate servesLocality P26183 FINISHED
Object Österskär 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: Österskär | Statement: [Line 28 at Österskär, servesLocality, Österskär]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Österskär
Context triple: [Line 28 at Österskär, servesLocality, Österskär]
  • A. Österskär chosen
    Österskär is a coastal locality in Österåker Municipality, Sweden, known as a residential seaside area within the Stockholm archipelago.
  • B. Kållandsö
    Kållandsö is a large Swedish island known for its scenic landscapes and historic sites, located in Lake Vänern in western Sweden.
  • C. Skarpö
    Skarpö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
  • D. Västerljung
    Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
  • E. Marstrandsön
    Marstrandsön is a Swedish island on the west coast known for the historic fortress town of Marstrand, sailing events, and scenic coastal landscapes.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2133048190a6308074a3b3347e completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.