Triple

T21476181
Position Surface form Disambiguated ID Type / Status
Subject Gnesta E529866 entity
Predicate locatedBy P2409 FINISHED
Object Lake Frösjön NE NERFINISHED

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: Lake Frösjön | Statement: [Gnesta, locatedBy, Lake Frösjön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Frösjön
Context triple: [Gnesta, locatedBy, Lake Frösjön]
  • A. Lake Frösjön chosen
    Lake Frösjön is a freshwater lake in Södermanland County, Sweden, known for its scenic surroundings and recreational opportunities near the town of Gnesta.
  • B. Lake Torneträsk
    Lake Torneträsk is a large, deep glacial lake in northern Sweden, renowned for its dramatic mountain scenery, proximity to the Arctic Circle, and popularity as a site for viewing the Northern Lights.
  • C. Lake Lersjön
    Lake Lersjön is a small freshwater lake located near the town of Filipstad in Värmland County, central Sweden.
  • D. Lake Ulvsundasjön
    Lake Ulvsundasjön is a narrow bay-like lake in the Mälaren system in the Stockholm area, bordered by urban districts and used for boating and waterfront recreation.
  • E. Växjö Lake
    Växjö Lake is a scenic freshwater lake in the city of Växjö in southern Sweden, known for its walking paths, recreation areas, and role in the local urban landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1737f881908ef7889e9568a4d3 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:20 p.m.