Triple

T5186596
Position Surface form Disambiguated ID Type / Status
Subject Grünheide (Mark) E117045 entity
Predicate hasSubdivision P747 FINISHED
Object Erkner Nord
Erkner Nord is a locality within the municipality of Grünheide (Mark) in the German state of Brandenburg.
 E501870 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: Erkner Nord | Statement: [Grünheide (Mark), hasSubdivision, Erkner Nord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erkner Nord
Context triple: [Grünheide (Mark), hasSubdivision, Erkner Nord]
  • A. Norderhov
    Norderhov is a village in the municipality of Ringerike in Buskerud, Norway, known for its historic church and rural surroundings.
  • B. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • C. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • D. Knudstrup
    Knudstrup is a small locality in present-day Sweden historically notable as the birthplace of the astronomer Tycho Brahe.
  • E. Nesodden
    Nesodden is a municipality and peninsula in southeastern Norway, situated across the Oslofjord from the capital city of Oslo.
  • 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: Erkner Nord
Triple: [Grünheide (Mark), hasSubdivision, Erkner Nord]
Generated description
Erkner Nord is a locality within the municipality of Grünheide (Mark) in the German state of Brandenburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erkner Nord
Target entity description: Erkner Nord is a locality within the municipality of Grünheide (Mark) in the German state of Brandenburg.
  • A. Norderhov
    Norderhov is a village in the municipality of Ringerike in Buskerud, Norway, known for its historic church and rural surroundings.
  • B. Maarkedal
    Maarkedal is a rural municipality in the Flemish Ardennes of East Flanders, Belgium, known for its hilly landscape and cycling routes.
  • C. Rønne
    Rønne is the largest town and administrative center of the Danish island of Bornholm, known for its historic harbor, half-timbered houses, and Baltic Sea ferry connections.
  • D. Knudstrup
    Knudstrup is a small locality in present-day Sweden historically notable as the birthplace of the astronomer Tycho Brahe.
  • E. Nesodden
    Nesodden is a municipality and peninsula in southeastern Norway, situated across the Oslofjord from the capital city of Oslo.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c3e9e08190848be4208b72f310 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08807748190ae8f34a6e8875c15 completed March 21, 2026, 6:16 p.m.
NEDg Description generation batch_69bee66191dc8190847fe13f2cda0000 completed March 21, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69bee6e8bbcc819094f5f04743eb4013 completed March 21, 2026, 6:43 p.m.
Created at: March 20, 2026, 1:46 p.m.