Triple

T1558246
Position Surface form Disambiguated ID Type / Status
Subject Weser E33257 entity
Predicate region P40 FINISHED
Object Weser-Ems region E89637 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: Weser-Ems region | Statement: [Weser, region, Weser-Ems region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weser-Ems region
Context triple: [Weser, region, Weser-Ems region]
  • A. Münsterland
    Münsterland is a rural region in northwestern Germany known for its historic castles, cycling routes, and traditional Westphalian culture.
  • B. Oldenburg–Osnabrück region chosen
    The Oldenburg–Osnabrück region is a metropolitan area in northwestern Germany centered around the cities of Oldenburg and Osnabrück, known for its mixed urban-rural character and strong regional economy.
  • C. Schwalm-Eder region
    The Schwalm-Eder region is a rural district in northern Hesse, Germany, known for its agricultural landscapes, small historic towns, and location south of Kassel.
  • D. Emsland
    Emsland is a rural region in western Germany known for its agriculture, peatlands, and location along the River Ems near the Dutch border.
  • E. Arnsberg region
    The Arnsberg region is an administrative district in the German state of North Rhine-Westphalia, encompassing several cities and towns in the eastern Ruhr and surrounding areas.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9088355048190adad5ea2bb558d13 completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4691cf5081909768f619b7a8a940 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.