Triple

T8445332
Position Surface form Disambiguated ID Type / Status
Subject Storsjöodjuret E199658 entity
Predicate associatedWith P37 FINISHED
Object Storsjön E199658 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: Storsjön | Statement: [Storsjöodjuret, associatedWith, Storsjön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storsjön
Context triple: [Storsjöodjuret, associatedWith, Storsjön]
  • A. Storsjön chosen
    Storsjön is a large lake in central Sweden, famed for its scenic surroundings and the local legend of the lake monster Storsjöodjuret.
  • B. 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.
  • C. Bällstaån
    Bällstaån is a small river in the Stockholm area of Sweden that flows through several suburbs before emptying into Bällstaviken.
  • D. Ältasjön
    Ältasjön is a lake in the Stockholm area of Sweden, known for its recreational opportunities and natural surroundings within the Nacka nature reserve.
  • E. Lake Hjälmaren
    Lake Hjälmaren is one of Sweden’s largest lakes, located in central Sweden east of Lake Vänern and west of Stockholm.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3138ee08190918cd82adbe2d9a1 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dac8cb08190b74985a6ba3c938f completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:09 p.m.