Triple

T9262907
Position Surface form Disambiguated ID Type / Status
Subject Bodenwerder E222621 entity
Predicate locatedInRegion P40 FINISHED
Object Weserbergland E668148 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: Weserbergland | Statement: [Bodenwerder, locatedInRegion, Weserbergland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weserbergland
Context triple: [Bodenwerder, locatedInRegion, Weserbergland]
  • A. Weserbergland chosen
    Weserbergland is a hilly, forested region in central Germany known for its picturesque landscapes along the Weser River and numerous historic towns.
  • B. Münsterland
    Münsterland is a rural region in northwestern Germany known for its historic castles, cycling routes, and traditional Westphalian culture.
  • C. Weser-Ems region
    The Weser-Ems region is a northwestern German area in Lower Saxony encompassing several rural districts and cities around the Weser and Ems rivers, known for agriculture, industry, and coastal landscapes.
  • D. Wendland region
    The Wendland region is a rural area in the eastern part of Lower Saxony, Germany, known for its historic Rundling (circular) villages and strong environmental and anti-nuclear activism.
  • E. Bergisches Land
    Bergisches Land is a hilly, forested region in western Germany, east of the Rhine, known for its river valleys, reservoirs, and historic industrial towns.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0719eee081909e21ecb9d6dd0b49 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d100bcd1d08190ad8fe83841f6761f completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 7:32 p.m.