Triple

T22939718
Position Surface form Disambiguated ID Type / Status
Subject Ibbenbüren E569686 entity
Predicate hasSubdivision P747 FINISHED
Object Schierloh 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: Schierloh | Statement: [Ibbenbüren, hasSubdivision, Schierloh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schierloh
Context triple: [Ibbenbüren, hasSubdivision, Schierloh]
  • A. Lohne
    Lohne is a town in Lower Saxony, Germany, known for its industrial economy and location within the Vechta district.
  • B. Niederschlema
    Niederschlema is a historic spa and former mining town in Saxony, Germany, known for its role in the Ore Mountain mining region and its radon-rich therapeutic springs.
  • C. Völlinghausen
    Völlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
  • D. Albersloh
    Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
  • E. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • 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: Schierloh
Target entity description: Schierloh is a district or neighborhood within the town of Ibbenbüren in North Rhine-Westphalia, Germany.
  • A. Lohne
    Lohne is a town in Lower Saxony, Germany, known for its industrial economy and location within the Vechta district.
  • B. Niederschlema
    Niederschlema is a historic spa and former mining town in Saxony, Germany, known for its role in the Ore Mountain mining region and its radon-rich therapeutic springs.
  • C. Völlinghausen
    Völlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
  • D. Albersloh
    Albersloh is a village in North Rhine-Westphalia, Germany, known for its rural character and location along the Werse River.
  • E. Breckerfeld
    Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
  • 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.