Triple

T22259775
Position Surface form Disambiguated ID Type / Status
Subject Harzmuseum Wernigerode E550187 entity
Predicate locatedIn P40 FINISHED
Object Harz 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: Harz | Statement: [Harzmuseum Wernigerode, locatedIn, Harz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harz
Context triple: [Harzmuseum Wernigerode, locatedIn, Harz]
  • A. Harz chosen
    Harz is a low mountain range in central Germany known for its dense forests, mining history, and association with German folklore such as the Brocken and Walpurgis Night.
  • B. Rhön
    Rhön is a low mountain range in central Germany known for its volcanic landscape, open plateaus, and designation as a UNESCO Biosphere Reserve.
  • C. Vordemwald
    Vordemwald is a municipality in the canton of Aargau in northern Switzerland, known for its rural character and surrounding forests.
  • D. Elbsandsteingebirge
    Elbsandsteingebirge is a striking sandstone mountain range along the Elbe River spanning eastern Germany and the Czech Republic, renowned for its dramatic rock formations and popular hiking and climbing areas.
  • E. Thuringian Forest
    The Thuringian Forest is a low mountain range in central Germany known for its dense woodlands, scenic hiking trails, and the historic Rennsteig ridgeway.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c5b54c8190854690ba599639fa completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.