Triple

T22901850
Position Surface form Disambiguated ID Type / Status
Subject Oskarshamn Municipality E568338 entity
Predicate contains P35 FINISHED
Object Kristdala
Kristdala is a small locality in southeastern Sweden, situated within Kalmar County and known for its rural character and surrounding forests and lakes.
E1559987 NE FINISHED

How this triple was built (4 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, contains, Kristdala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristdala
Context triple: [Oskarshamn Municipality, contains, Kristdala]
  • A. 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.
  • B. Rasdal
    Rasdal is a Norwegian surname associated with former professional footballer Alf-Inge Haaland.
  • C. Dælenenga
    Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
  • D. Skáli
    Skáli is a small village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
  • E. Dalsnibba
    Dalsnibba is a high mountain viewpoint in Norway famous for its panoramic views over the Geirangerfjord and surrounding alpine landscape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kristdala
Triple: [Oskarshamn Municipality, contains, Kristdala]
Generated description
Kristdala is a small locality in southeastern Sweden, situated within Kalmar County and known for its rural character and surrounding forests and lakes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kristdala
Target entity description: Kristdala is a small locality in southeastern Sweden, situated within Kalmar County and known for its rural character and surrounding forests and lakes.
  • A. 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.
  • B. Rasdal
    Rasdal is a Norwegian surname associated with former professional footballer Alf-Inge Haaland.
  • C. Dælenenga
    Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
  • D. Skáli
    Skáli is a small village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
  • E. Dalsnibba
    Dalsnibba is a high mountain viewpoint in Norway famous for its panoramic views over the Geirangerfjord and surrounding alpine landscape.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0bb9c971308190a7b9069ad1273f86 completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb4c32a4819086a4bfdf25476d78 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc1bd0808190a0a5f8f603308b45 completed May 19, 2026, 1:25 a.m.
Created at: April 17, 2026, 3:41 p.m.