Triple

T1232405
Position Surface form Disambiguated ID Type / Status
Subject Vaxholm Municipality E26470 entity
Predicate hasIsland P970 FINISHED
Object Skarpö-Lillholmen E171701 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: Skarpö-Lillholmen | Statement: [Vaxholm Municipality, hasIsland, Skarpö-Lillholmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skarpö-Lillholmen
Context triple: [Vaxholm Municipality, hasIsland, Skarpö-Lillholmen]
  • A. Skarpö chosen
    Skarpö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
  • B. Lindholmen
    Lindholmen is a small locality in Vallentuna Municipality in Stockholm County, Sweden, known for its residential character and proximity to natural and historical sites.
  • C. Lidingö
    Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
  • D. Kungsholmen
    Kungsholmen is a central island and district of Stockholm known for its waterfront promenades, residential areas, and the iconic Stockholm City Hall.
  • E. Resarö
    Resarö is an island in the Stockholm archipelago known for its residential communities, natural coastal scenery, and proximity to the city of Stockholm.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5b40208190b115a6a344402caf completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293648d08190a1c15fe677aa7b8c completed March 8, 2026, 7:45 a.m.
Created at: March 1, 2026, 7:47 p.m.