Triple

T3145715
Position Surface form Disambiguated ID Type / Status
Subject Liseberg E65758 entity
Predicate hasAttraction P105 FINISHED
Object Kållerado
Kållerado is a popular river rapids ride at the Liseberg amusement park in Gothenburg, Sweden.
E331616 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: Kållerado | Statement: [Liseberg, hasAttraction, Kållerado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kållerado
Context triple: [Liseberg, hasAttraction, Kållerado]
  • A. Kallhäll
    Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
  • B. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • C. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Tungelsta
    Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
  • 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: Kållerado
Triple: [Liseberg, hasAttraction, Kållerado]
Generated description
Kållerado is a popular river rapids ride at the Liseberg amusement park in Gothenburg, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kållerado
Target entity description: Kållerado is a popular river rapids ride at the Liseberg amusement park in Gothenburg, Sweden.
  • A. Kallhäll
    Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
  • B. Skarpäng
    Skarpäng is a residential urban area within Täby Municipality in Stockholm County, Sweden.
  • C. Bollstanäs
    Bollstanäs is a residential locality in Sweden situated within the suburban area of Upplands Väsby, north of Stockholm.
  • D. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • E. Tungelsta
    Tungelsta is a locality in Stockholm County, Sweden, known for its residential character and commuter connections within the Haninge area.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59797788190a8d71262888c5df0 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f18e80819083be53c556d56947 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b2271961048190906b6fa25e4b560c completed March 12, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69b227becba08190b5e4b3dae277ce51 completed March 12, 2026, 2:41 a.m.
Created at: March 8, 2026, 3:05 p.m.