Triple

T18171071
Position Surface form Disambiguated ID Type / Status
Subject Øystre Slidre E435024 entity
Predicate administrativeCenter P1474 FINISHED
Object Heggenes 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: Heggenes | Statement: [Øystre Slidre, administrativeCenter, Heggenes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heggenes
Context triple: [Øystre Slidre, administrativeCenter, Heggenes]
  • A. Heggenes chosen
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • B. Hegge
    Hegge is a small village in the municipality of Øystre Slidre in Innlandet county, Norway, known for its traditional rural setting and historic stave church.
  • C. Hestnes
    Hestnes is a small settlement located within the municipality of Eigersund in Rogaland county, southwestern Norway.
  • D. Hornnes
    Hornnes is a village in Agder county, Norway, situated within the municipality of Evje og Hornnes in the Setesdal valley.
  • E. Gerhardsen
    Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df56190c8190a3644333f9050a10 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.