Triple

T16763163
Position Surface form Disambiguated ID Type / Status
Subject district of Wesel E407395 entity
Predicate containsMunicipality P852 FINISHED
Object Hamminkeln
Hamminkeln is a small town and municipality in western Germany’s North Rhine-Westphalia region, known for its rural character and location near the Lower Rhine.
 E1231534 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: Hamminkeln | Statement: [district of Wesel, containsMunicipality, Hamminkeln]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hamminkeln
Context triple: [district of Wesel, containsMunicipality, Hamminkeln]
  • A. Delmenhorst
    Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
  • B. Stadshagen
    Stadshagen is a residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • C. Norderstedt
    Norderstedt is a city in northern Germany that forms part of the Hamburg metropolitan area and is one of the larger urban centers in the state of Schleswig-Holstein.
  • D. Elmshorn
    Elmshorn is a town in northern Germany’s Schleswig-Holstein state, known as an industrial and commuter hub northwest of Hamburg.
  • E. Harvestehude
    Harvestehude is an affluent, leafy district in Hamburg, Germany, known for its elegant villas, embassies, and proximity to the Alster lakes.
  • 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: Hamminkeln
Triple: [district of Wesel, containsMunicipality, Hamminkeln]
Generated description
Hamminkeln is a small town and municipality in western Germany’s North Rhine-Westphalia region, known for its rural character and location near the Lower Rhine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hamminkeln
Target entity description: Hamminkeln is a small town and municipality in western Germany’s North Rhine-Westphalia region, known for its rural character and location near the Lower Rhine.
  • A. Delmenhorst
    Delmenhorst is a mid-sized industrial and commuter city in northwestern Germany, located near Bremen in the federal state of Lower Saxony.
  • B. Stadshagen
    Stadshagen is a residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • C. Norderstedt
    Norderstedt is a city in northern Germany that forms part of the Hamburg metropolitan area and is one of the larger urban centers in the state of Schleswig-Holstein.
  • D. Elmshorn
    Elmshorn is a town in northern Germany’s Schleswig-Holstein state, known as an industrial and commuter hub northwest of Hamburg.
  • E. Harvestehude
    Harvestehude is an affluent, leafy district in Hamburg, Germany, known for its elegant villas, embassies, and proximity to the Alster lakes.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abee862c819086d9bf01e623a8ce completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52ff9d481909675c7e1f81191dc completed May 10, 2026, 3:33 p.m.
NEDg Description generation batch_6a00a5f02c388190b3f6fb26798f2393 completed May 10, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a00a68b92b48190865ddd477a8ba1c6 completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.