Triple

T16811622
Position Surface form Disambiguated ID Type / Status
Subject Innlandet county E408626 entity
Predicate containsPart P35 FINISHED
Object Dovre area E652822 NE FINISHED

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: Dovre area | Statement: [Innlandet county, containsPart, Dovre area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dovre area
Context triple: [Innlandet county, containsPart, Dovre area]
  • A. Dovre region chosen
    The Dovre region is a mountainous area in central Norway known for its rugged landscapes, national parks, and rich wildlife, including wild reindeer.
  • B. Strynefjell area
    Strynefjell area is a mountainous region in western Norway known for its dramatic alpine landscapes, glaciers, and scenic routes.
  • C. Nord-Troms area
    The Nord-Troms area is a northern Norwegian region known for its Arctic coastal landscapes, sparse population, and culturally diverse communities including Kven, Sámi, and Norwegian inhabitants.
  • D. Sunnfjord region
    The Sunnfjord region is a coastal district in western Norway known for its deep fjords, rugged mountains, and traditional rural communities.
  • E. Ofotfjord region
    The Ofotfjord region is a dramatic fjord landscape in northern Norway, known for its steep mountains, deep waters, and scenic vistas around the town of Narvik.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2d0793c81909d938ac174a6e63a completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b292a5888190812539b14eb77f34 completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:23 a.m.