Triple

T4657813
Position Surface form Disambiguated ID Type / Status
Subject Hedmark E102451 entity
Predicate hasMunicipality P847 FINISHED
Object Ringsaker E342716 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: Ringsaker | Statement: [Hedmark, hasMunicipality, Ringsaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ringsaker
Context triple: [Hedmark, hasMunicipality, Ringsaker]
  • A. Ringsaker chosen
    Ringsaker is a municipality in Innlandet county, Norway, known for its agricultural landscapes along Lake Mjøsa and its proximity to the town of Hamar.
  • B. Ring
    Ring is a smart home security and video doorbell company known for its connected cameras and home monitoring services.
  • C. Main Ring
    Main Ring was a former circular proton synchrotron at Fermilab that served as the laboratory’s primary accelerator before being superseded by the Main Injector.
  • D. Rombaken
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • E. Ring (An Rinn)
    Ring (An Rinn) is a coastal Irish-speaking village and Gaeltacht community in County Waterford, renowned for its strong traditional culture and language.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd631a855c81909773737fd238a14d completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaf5a0988190b097ef71301aebbe completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:15 p.m.