Triple

T10546822
Position Surface form Disambiguated ID Type / Status
Subject Bochum E248839 entity
Predicate locatedIn P40 FINISHED
Object Ruhr coal mining region E115735 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: Ruhr coal mining region | Statement: [Bochum, locatedIn, Ruhr coal mining region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruhr coal mining region
Context triple: [Bochum, locatedIn, Ruhr coal mining region]
  • A. Ruhr area chosen
    The Ruhr area is a major urban and industrial region in western Germany known for its dense concentration of cities, former coal and steel industries, and subsequent transformation into a cultural and service hub.
  • B. Saarland industrial region
    The Saarland industrial region is a historically significant heavy-industry area in southwestern Germany, known for its coal mining and steel production centers such as the Völklingen Ironworks.
  • C. Belgian coal basin
    The Belgian coal basin is a historic industrial region in Belgium known for its extensive coal mining activities and associated engineering heritage, including canals and hydraulic boat lifts.
  • D. Saxony-Leipzig lignite mining area
    The Saxony-Leipzig lignite mining area is a major open-cast brown coal mining region in central Germany, historically significant for its large-scale extraction and associated industrial landscape.
  • E. Regionalverband Ruhr
    Regionalverband Ruhr is a regional association in Germany that coordinates planning, development, and cooperation among cities in the Ruhr metropolitan area.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d20ef48190ab9f70d4ce5f2a11 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b3148dc81908720c27e58a325ab completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:33 p.m.