Triple

T23483736
Position Surface form Disambiguated ID Type / Status
Subject Asker municipality E570473 entity
Predicate containsSettlement P847 FINISHED
Object Sætre 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: Sætre | Statement: [Asker municipality, containsSettlement, Sætre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sætre
Context triple: [Asker municipality, containsSettlement, Sætre]
  • A. Sætre chosen
    Sætre is a village in Asker Municipality in Viken county, Norway, known for its coastal location along the Oslofjord.
  • B. Sæbraut
    Sæbraut is a coastal road in Reykjavík, Iceland, known for its scenic waterfront views and public artworks along the shoreline.
  • C. Blæstad
    Blæstad is a campus location of Inland Norway University of Applied Sciences, known for its focus on agricultural and environmental studies.
  • D. Stöllet
    Stöllet is a small locality in central Sweden situated within Torsby Municipality in Värmland County.
  • E. Reinsvoll
    Reinsvoll is a village in Innlandet county, Norway, known as a local settlement within Vestre Toten municipality.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a751e6a08190a42c36722275d5d3 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:03 p.m.