Triple

T16398220
Position Surface form Disambiguated ID Type / Status
Subject ECD Iserlohn E398238 entity
Predicate region P40 FINISHED
Object Sauerland E232082 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: Sauerland | Statement: [ECD Iserlohn, region, Sauerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sauerland
Context triple: [ECD Iserlohn, region, Sauerland]
  • A. Sauerland chosen
    Sauerland is a hilly, forested region in western Germany known for its reservoirs, outdoor recreation, and winter sports areas.
  • B. Soester Börde
    Soester Börde is a historic agricultural region in western Germany, renowned for its exceptionally fertile loess soils and long-standing farming tradition.
  • C. 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.
  • D. 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.
  • E. Weser-Leine Uplands
    The Weser-Leine Uplands are a hilly landscape region in central Germany characterized by forested ridges, river valleys, and diverse natural and cultural features.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cc5c9c8190ba1a70f9e430cefb completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f439d048190bf779cb263b7c7a7 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:09 a.m.