Triple

T2307891
Position Surface form Disambiguated ID Type / Status
Subject Büllingen E51882 entity
Predicate hasLandscape P940 FINISHED
Object Eifel uplands E56877 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: Eifel uplands | Statement: [Büllingen, hasLandscape, Eifel uplands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eifel uplands
Context triple: [Büllingen, hasLandscape, Eifel uplands]
  • A. Eifel Mountains chosen
    The Eifel Mountains are a low mountain range in western Germany and eastern Belgium, known for their volcanic landscapes, dense forests, and picturesque villages.
  • B. Weser Uplands
    The Weser Uplands is a hilly, forested region in central Germany known for its picturesque landscapes, traditional half-timbered towns, and association with many of the Brothers Grimm fairy tales.
  • C. Luxembourg Plateau
    The Luxembourg Plateau is a central elevated region in Luxembourg characterized by gently rolling terrain and serving as a key area for the country’s settlements and agriculture.
  • D. Sauerland
    Sauerland is a hilly, forested region in western Germany known for its reservoirs, outdoor recreation, and winter sports areas.
  • E. Lüneburg Heath
    Lüneburg Heath is a large heath and nature reserve in northern Germany known for its purple heather landscapes, historic villages, and protected wildlife habitats.
  • 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_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc605cf808190a326e6c78e3f9166 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f379bbc8190b085b82e2e16401e completed March 9, 2026, 8:05 a.m.
Created at: March 4, 2026, 7:49 p.m.