Triple

T5200848
Position Surface form Disambiguated ID Type / Status
Subject Nackareservatet E117388 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Ulvsjön E507331 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: Ulvsjön | Statement: [Nackareservatet, hasBodyOfWater, Ulvsjön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulvsjön
Context triple: [Nackareservatet, hasBodyOfWater, Ulvsjön]
  • A. 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.
  • B. Ältasjön chosen
    Ältasjön is a lake in the Stockholm area of Sweden, known for its recreational opportunities and natural surroundings within the Nacka nature reserve.
  • C. Vallentunasjön
    Vallentunasjön is a lake in Stockholm County, Sweden, known for its birdlife, recreational activities, and proximity to the town of Vallentuna.
  • D. Saltsjön
    Saltsjön is a bay of the Baltic Sea forming part of the inner Stockholm archipelago and the main sea approach to central Stockholm.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a228e2c81908bfbd48ed9f2cd5e completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10c17a648190b8ca7b85cfbfb9e4 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:47 p.m.