Triple

T22901865
Position Surface form Disambiguated ID Type / Status
Subject Oskarshamn Municipality E568338 entity
Predicate hasUrbanArea P316 FINISHED
Object Kristdala 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: Kristdala | Statement: [Oskarshamn Municipality, hasUrbanArea, Kristdala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristdala
Context triple: [Oskarshamn Municipality, hasUrbanArea, Kristdala]
  • A. Kristdala chosen
    Kristdala is a small locality in southeastern Sweden, situated within Kalmar County and known for its rural character and surrounding forests and lakes.
  • B. Kolbeinsey
    Kolbeinsey is a small, uninhabited islet in the Arctic Ocean north of Iceland, notable as the northernmost point of Iceland’s territory and for gradually eroding due to wave action.
  • C. Rasdal
    Rasdal is a Norwegian surname associated with former professional footballer Alf-Inge Haaland.
  • D. Dælenenga
    Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
  • E. Skáli
    Skáli is a small village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18016d8e481908fc47d003156b800 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.