Triple

T18459226
Position Surface form Disambiguated ID Type / Status
Subject Ahrweiler district E450986 entity
Predicate hasFeature P182 FINISHED
Object Eifel hills 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: Eifel hills | Statement: [Ahrweiler district, hasFeature, Eifel hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eifel hills
Context triple: [Ahrweiler district, hasFeature, Eifel hills]
  • A. Eifel Mountains
    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. Eifel region chosen
    The Eifel region is a low mountain range in western Germany known for its volcanic landscapes, forests, and picturesque villages, spanning parts of Rhineland-Palatinate and North Rhine-Westphalia.
  • C. Kyffhäuser hills
    The Kyffhäuser hills are a low mountain range in central Germany known for the Kyffhäuser Monument and their association with the Barbarossa legend.
  • D. Hagen Mountains
    The Hagen Mountains are a rugged limestone mountain range in the Northern Limestone Alps of Austria, forming part of the Berchtesgaden Alps near the Salzach River.
  • E. Haßberge hills
    The Haßberge hills are a low mountain range in northern Bavaria, Germany, known for their forested landscapes, castles, and vineyards along the Main River.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a7cdb5c8190a399f0e4052f7d1f completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.