Triple

T21298731
Position Surface form Disambiguated ID Type / Status
Subject Ørskog E524996 entity
Predicate hasSettlement P1068 FINISHED
Object Sjøholt 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: Sjøholt | Statement: [Ørskog, hasSettlement, Sjøholt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sjøholt
Context triple: [Ørskog, hasSettlement, Sjøholt]
  • A. Sjøholt chosen
    Sjøholt is a small coastal village in Møre og Romsdal county in western Norway, known for its scenic fjord landscape and proximity to major transport routes.
  • B. Kjørnes
    Kjørnes is a residential area and neighborhood within the municipality of Sogndal in Vestland county, Norway.
  • C. Nørholm
    Nørholm is a historic estate in southern Norway best known as the longtime home of Nobel Prize–winning author Knut Hamsun (born Knut Pedersen).
  • D. Jøa
    Jøa is an island in Trøndelag county, Norway, known for its coastal landscape and rural communities within the former municipality of Fosnes.
  • E. Hanevik
    Hanevik is a small village in western Norway located within Askøy Municipality in Vestland county.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385a24d08190bfd410c7f10fa6f7 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.