Triple

T13800265
Position Surface form Disambiguated ID Type / Status
Subject Lisebergshallen E331620 entity
Predicate operator P179 FINISHED
Object Liseberg AB E65758 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: Liseberg AB | Statement: [Lisebergshallen, operator, Liseberg AB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liseberg AB
Context triple: [Lisebergshallen, operator, Liseberg AB]
  • A. Liseberg amusement park chosen
    Liseberg amusement park is a major theme park in Gothenburg, Sweden, known for its historic charm, diverse rides, and status as one of Scandinavia’s most popular tourist attractions.
  • B. TusenFryd amusement park
    TusenFryd amusement park is one of Norway’s largest theme parks, featuring roller coasters, water rides, and family attractions just outside Oslo.
  • C. Gröna Lund
    Gröna Lund is a historic amusement park in Stockholm, Sweden, known for its roller coasters, live music concerts, and scenic waterfront location.
  • D. Kongeparken amusement park
    Kongeparken amusement park is a family-oriented theme park in southwestern Norway known for its rides, seasonal events, and focus on children’s activities.
  • E. Gardaland
    Gardaland is a major Italian theme park and resort near Lake Garda, known for its roller coasters, family attractions, and themed entertainment.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb6e3d048190869bba1b4a7e255f completed May 8, 2026, 3:04 p.m.
Created at: April 9, 2026, 10:11 p.m.