Triple

T15782731
Position Surface form Disambiguated ID Type / Status
Subject Slussen metro station E382658 entity
Predicate locatedByWaterbody P1489 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: [Slussen metro station, locatedByWaterbody, Saltsjön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saltsjön
Context triple: [Slussen metro station, locatedByWaterbody, 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a2476c8190a153fb47cb4e7708 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.