Triple

T19840876
Position Surface form Disambiguated ID Type / Status
Subject Numedal Line E476722 entity
Predicate hasSection P35 FINISHED
Object Flesberg–Rollag 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: Flesberg–Rollag | Statement: [Numedal Line, hasSection, Flesberg–Rollag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flesberg–Rollag
Context triple: [Numedal Line, hasSection, Flesberg–Rollag]
  • A. Flesberg chosen
    Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
  • B. Blakstad
    Blakstad is a village in Agder county, Norway, known as the main local hub for services and administration in the surrounding Froland area.
  • C. Hafslund
    Hafslund is a major Norwegian energy and utility company known for its role in electricity production, distribution, and related services.
  • D. Sæbø
    Sæbø is a small Norwegian village known for its scenic location amid steep mountains and fjord landscapes in western Norway.
  • E. Klemetsrud
    Klemetsrud is a residential area and neighborhood in the Søndre Nordstrand borough of Oslo, 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.