Triple

T12000125
Position Surface form Disambiguated ID Type / Status
Subject Västernorrland County E285635 entity
Predicate hasProvince P285 FINISHED
Object Medelpad E675672 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: Medelpad | Statement: [Västernorrland County, hasProvince, Medelpad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medelpad
Context triple: [Västernorrland County, hasProvince, Medelpad]
  • A. Medelpad chosen
    Medelpad is a historical province in central Sweden known for its forests, rivers, and coastal landscapes along the Gulf of Bothnia.
  • B. Matsesta
    Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
  • C. Mädelegabel
    Mädelegabel is a prominent tri-peaked mountain in the Allgäu Alps on the Germany–Austria border, popular with climbers and hikers for its rugged terrain and alpine scenery.
  • D. Dovrebanen
    Dovrebanen is a major Norwegian railway line connecting Oslo and Trondheim across the Dovrefjell mountain area.
  • E. Pjätteryd
    Pjätteryd is a small locality in southern Sweden, situated within Älmhult Municipality in Kronoberg County.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4729eb4a081909d93b3fc74509d86 completed May 1, 2026, 9:30 a.m.
Created at: April 8, 2026, 9:46 p.m.