Triple

T15041240
Position Surface form Disambiguated ID Type / Status
Subject Gröna Lund E378603 entity
Predicate hasNeighbour P5707 FINISHED
Object Skansen E80003 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: Skansen | Statement: [Gröna Lund, hasNeighbour, Skansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skansen
Context triple: [Gröna Lund, hasNeighbour, Skansen]
  • A. Skansen chosen
    Skansen is an open-air museum and zoo in Stockholm that showcases traditional Swedish culture, architecture, and wildlife.
  • B. Stockholm Stadsgården
    Stockholm Stadsgården is a central waterfront quay and ferry terminal area in Stockholm, Sweden, serving cruise ships, ferries, and other passenger traffic.
  • C. Copenhagen Zoo
    Copenhagen Zoo is one of Denmark’s oldest and most visited zoological gardens, known for its diverse animal collection and distinctive architecture, including the iconic wooden observation tower.
  • D. Kronobergsparken
    Kronobergsparken is a large, hilly public park in the Kungsholmen district of central Stockholm, known for its green spaces, playgrounds, and views over the city.
  • E. Hagaparken
    Hagaparken is a large historic park in Solna just north of Stockholm, Sweden, known for its English landscape design, royal pavilions, and recreational green spaces.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82e79a481908ddb9609af8c4407 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de388508190bb0ecc04740cbe15 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.