Triple

T20018787
Position Surface form Disambiguated ID Type / Status
Subject Rissa (former municipality) E494791 entity
Predicate hasSettlement P1068 FINISHED
Object Stadsbygd 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: Stadsbygd | Statement: [Rissa (former municipality), hasSettlement, Stadsbygd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadsbygd
Context triple: [Rissa (former municipality), hasSettlement, Stadsbygd]
  • A. Stadsbygd chosen
    Stadsbygd is a village and former administrative center in Trøndelag county, Norway, known for its rural coastal setting and historical church.
  • B. Stangebyen
    Stangebyen is a village in Innlandet county, Norway, serving as the main local hub for services, commerce, and administration in the Stange area.
  • C. Stadlandet
    Stadlandet is a rugged coastal peninsula in western Norway known for its exposed position to the North Atlantic and challenging maritime conditions.
  • D. Bjørheimsbygd
    Bjørheimsbygd is a small village in Strand municipality in Rogaland county, southwestern Norway.
  • E. Smestad
    Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623e40748190b1abb0ead9acab4e completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.