Triple

T19560632
Position Surface form Disambiguated ID Type / Status
Subject Røyken E489438 entity
Predicate otherSettlement P53596 FINISHED
Object Slemmestad NE NERFINISHED

How this triple was built (3 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: Slemmestad | Statement: [Røyken, otherSettlement, Slemmestad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slemmestad
Context triple: [Røyken, otherSettlement, Slemmestad]
  • A. Grebbestad
    Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
  • B. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • C. Slemdal
    Slemdal is a residential neighborhood in the Vestre Aker borough of Oslo, Norway, known for its green surroundings and affluent character.
  • D. Smestad
    Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
  • E. Holmestrand
    Holmestrand is a coastal town and municipality in Vestfold, Norway, known for its harbor, steep hillsides, and role as a regional transport hub along the Oslofjord.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Slemmestad
Target entity description: Slemmestad is a village in Asker Municipality in Viken county, Norway, known historically for its cement industry along the Oslofjord.
  • A. Grebbestad
    Grebbestad is a coastal fishing village and popular tourist destination in Tanum Municipality on Sweden’s west coast, known for its seafood and picturesque archipelago.
  • B. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • C. Slemdal
    Slemdal is a residential neighborhood in the Vestre Aker borough of Oslo, Norway, known for its green surroundings and affluent character.
  • D. Smestad
    Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
  • E. Holmestrand
    Holmestrand is a coastal town and municipality in Vestfold, Norway, known for its harbor, steep hillsides, and role as a regional transport hub along the Oslofjord.
  • F. None of above. chosen

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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f7442e08190ad030151ec0a97d4 completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.