Triple

T11486762
Position Surface form Disambiguated ID Type / Status
Subject Remscheid E272299 entity
Predicate hasCityDistrict P2709 FINISHED
Object Alt-Remscheid E272299 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: Alt-Remscheid | Statement: [Remscheid, hasCityDistrict, Alt-Remscheid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alt-Remscheid
Context triple: [Remscheid, hasCityDistrict, Alt-Remscheid]
  • A. Remscheid chosen
    Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
  • B. Bergkamen
    Bergkamen is a town in North Rhine-Westphalia, Germany, known for its coal mining heritage and post-war planned urban development.
  • C. Zülpich
    Zülpich is a historic town in North Rhine-Westphalia, Germany, known for its Roman heritage and medieval fortifications.
  • D. Gummersbach
    Gummersbach is a town in North Rhine-Westphalia, Germany, known as a regional center in the Bergisches Land and a location for higher education and industry.
  • E. Würselen
    Würselen is a town in western Germany’s state of North Rhine-Westphalia, located near the city of Aachen and known historically for its mining and industrial heritage.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1fc9688190aacc2eed64229b79 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6046076d0819087766bf905825217 completed April 20, 2026, 10:48 a.m.
Created at: April 8, 2026, 9:36 p.m.