Triple

T17657919
Position Surface form Disambiguated ID Type / Status
Subject Rollag E440172 entity
Predicate borderWith P224 FINISHED
Object Flesberg 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 | Statement: [Rollag, borderWith, Flesberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flesberg
Context triple: [Rollag, borderWith, Flesberg]
  • 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. Fyresdal
    Fyresdal is a rural municipality in Telemark county, Norway, known for its forests, lakes, and traditional farming communities.
  • C. Fjeldstad
    Fjeldstad is a Norwegian surname most notably associated with conductor and violinist Øivin Fjeldstad.
  • D. Fosnes
    Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
  • E. Eidskog
    Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea3b4cc81908eec7032cf221d49 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:28 a.m.