Triple

T21557043
Position Surface form Disambiguated ID Type / Status
Subject Halver E531919 entity
Predicate locatedIn P40 FINISHED
Object Sauerland 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: Sauerland | Statement: [Halver, locatedIn, Sauerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sauerland
Context triple: [Halver, locatedIn, Sauerland]
  • A. Sauerland chosen
    Sauerland is a hilly, forested region in western Germany known for its reservoirs, outdoor recreation, and winter sports areas.
  • B. Vordemwald
    Vordemwald is a municipality in the canton of Aargau in northern Switzerland, known for its rural character and surrounding forests.
  • C. Soester Börde
    Soester Börde is a historic agricultural region in western Germany, renowned for its exceptionally fertile loess soils and long-standing farming tradition.
  • D. 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.
  • 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 (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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e04b048190ac3a9913094b4625 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.