Triple

T19479606
Position Surface form Disambiguated ID Type / Status
Subject Åsnes municipality E487344 entity
Predicate partOf P40 FINISHED
Object Solør district 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: Solør district | Statement: [Åsnes municipality, partOf, Solør district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solør district
Context triple: [Åsnes municipality, partOf, Solør district]
  • A. Solør district chosen
    Solør district is a traditional rural region in Innlandet county, Norway, known for its forests, agriculture, and small communities along the Glomma River.
  • B. Hadeland district
    Hadeland district is a traditional rural region in southeastern Norway known for its historic farms, forests, and lakes north of Oslo.
  • C. Salten district
    Salten district is a traditional region in Nordland county in northern Norway, known for its coastal landscapes, fjords, and the town of Bodø as its main urban center.
  • D. Fosen district
    Fosen district is a traditional coastal region in Trøndelag county, Norway, known for its fjords, islands, and rural communities.
  • E. Østerdalen district
    Østerdalen district is a large, sparsely populated valley and traditional district in Innlandet county, Norway, known for its forests, rivers, and rural communities.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343882a88190b3cfa65e6cac80d3 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.