Triple

T15041201
Position Surface form Disambiguated ID Type / Status
Subject Gröna Lund E378603 entity
Predicate locatedBy P2409 FINISHED
Object Saltsjön E109114 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: Saltsjön | Statement: [Gröna Lund, locatedBy, Saltsjön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saltsjön
Context triple: [Gröna Lund, locatedBy, Saltsjön]
  • A. Saltsjön chosen
    Saltsjön is a bay of the Baltic Sea forming part of the inner Stockholm archipelago and the main sea approach to central Stockholm.
  • B. Laxsjön
    Laxsjön is a lake in the Swedish province of Dalsland, known for its forested surroundings and opportunities for fishing and outdoor recreation.
  • C. Ältasjön
    Ältasjön is a lake in the Stockholm area of Sweden, known for its recreational opportunities and natural surroundings within the Nacka nature reserve.
  • D. Munksjön
    Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
  • E. Storsjön
    Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
  • 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_69feae0be8bc81909e1f9ed31bfd76fb completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3 a.m.