Triple

T22939684
Position Surface form Disambiguated ID Type / Status
Subject Ibbenbüren E569686 entity
Predicate hasCoalfield P37790 FINISHED
Object Ibbenbüren coalfield NE NERFINISHED

How this triple was built (3 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: Ibbenbüren coalfield | Statement: [Ibbenbüren, hasCoalfield, Ibbenbüren coalfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibbenbüren coalfield
Context triple: [Ibbenbüren, hasCoalfield, Ibbenbüren coalfield]
  • A. Rhenish lignite mining area
    The Rhenish lignite mining area is a major open-cast brown coal mining region in western Germany, known for its large-scale surface mines and associated power plants.
  • B. Margherita coalfields
    Margherita coalfields are a significant coal mining region in Assam, India, known for their contribution to the state's coal production and local economy.
  • C. Nordstern coal mine
    Nordstern coal mine was a former German coal mining operation whose name later inspired the naming of the nearby Nordstern Bridge.
  • 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. Kingswood coalfield
    Kingswood coalfield was a historically important coal-mining area near Bristol in South Gloucestershire, England, that played a key role in the region’s early industrial development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ibbenbüren coalfield
Target entity description: The Ibbenbüren coalfield is a historic hard coal mining area in North Rhine-Westphalia, Germany, known for its long tradition of deep underground mining until the late 20th and early 21st centuries.
  • A. Rhenish lignite mining area
    The Rhenish lignite mining area is a major open-cast brown coal mining region in western Germany, known for its large-scale surface mines and associated power plants.
  • B. Margherita coalfields
    Margherita coalfields are a significant coal mining region in Assam, India, known for their contribution to the state's coal production and local economy.
  • C. Nordstern coal mine
    Nordstern coal mine was a former German coal mining operation whose name later inspired the naming of the nearby Nordstern Bridge.
  • 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. Kingswood coalfield
    Kingswood coalfield was a historically important coal-mining area near Bristol in South Gloucestershire, England, that played a key role in the region’s early industrial development.
  • F. None of above. chosen

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813844b88190b05d3829b0c423c4 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.