Triple

T3458373
Position Surface form Disambiguated ID Type / Status
Subject Älvdalen E72961 entity
Predicate partOf P40 FINISHED
Object historical province of Dalarna E72579 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: historical province of Dalarna | Statement: [Älvdalen, partOf, historical province of Dalarna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: historical province of Dalarna
Context triple: [Älvdalen, partOf, historical province of Dalarna]
  • A. province of Östergötland
    The province of Östergötland is a historical and cultural region in southeastern Sweden known for its medieval heritage, fertile plains, and major cities such as Linköping and Norrköping.
  • B. Dalarna chosen
    Dalarna is a historical province in central Sweden known for its distinct cultural traditions, including unique dialects, folk costumes, and the iconic Dala horse.
  • C. Dalsland
    Dalsland is a historical province in western Sweden known for its forests, lakes, and rural landscapes.
  • D. Jämtland region
    Jämtland region is a sparsely populated county in central Sweden known for its lakes, forests, mountains, and outdoor recreation tourism.
  • E. Värmland County
    Värmland County is a region in west-central Sweden known for its vast forests, lakes, and cultural heritage, with Karlstad as its administrative center.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae36e748190bf20fd3c6de22e19 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36104a1048190b6fa9f552786a85a completed March 13, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:16 p.m.