Triple

T16119632
Position Surface form Disambiguated ID Type / Status
Subject Bünde E391098 entity
Predicate hasSubdivision P747 FINISHED
Object Spradow
Spradow is a district or locality within the town of Bünde in North Rhine-Westphalia, Germany.
 E1196577 NE FINISHED

How this triple was built (4 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: Spradow | Statement: [Bünde, hasSubdivision, Spradow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spradow
Context triple: [Bünde, hasSubdivision, Spradow]
  • A. Jawor
    Jawor is a historic town in southwestern Poland known for its UNESCO-listed timber-framed Church of Peace and well-preserved medieval architecture.
  • B. Sadowie
    Sadowie is a village and the seat of a rural administrative district in south-eastern Poland.
  • C. Stráž
    Stráž is a small town in the Plzeň Region of the Czech Republic, known for its rural character and location within the Tachov District near the country’s western border.
  • D. Sylko
    Sylko is a brand of sewing and embroidery threads historically associated with the textile company J. & P. Coats.
  • E. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Spradow
Triple: [Bünde, hasSubdivision, Spradow]
Generated description
Spradow is a district or locality within the town of Bünde in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spradow
Target entity description: Spradow is a district or locality within the town of Bünde in North Rhine-Westphalia, Germany.
  • A. Jawor
    Jawor is a historic town in southwestern Poland known for its UNESCO-listed timber-framed Church of Peace and well-preserved medieval architecture.
  • B. Sadowie
    Sadowie is a village and the seat of a rural administrative district in south-eastern Poland.
  • C. Stráž
    Stráž is a small town in the Plzeň Region of the Czech Republic, known for its rural character and location within the Tachov District near the country’s western border.
  • D. Sylko
    Sylko is a brand of sewing and embroidery threads historically associated with the textile company J. & P. Coats.
  • E. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • F. None of above. chosen

Provenance (5 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016d527c8190928e73661b18a914 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a61e448190be1f8c79cae6c7ee completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3b25ba081909c396431ace865ac completed May 10, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69fff4a2964c8190bfa8c2fa0f934abe completed May 10, 2026, 2:59 a.m.
Created at: April 10, 2026, 5 a.m.