Triple

T10629755
Position Surface form Disambiguated ID Type / Status
Subject Möhnesee E250420 entity
Predicate hasPart P35 FINISHED
Object Himmelpforten
Himmelpforten is a locality within the municipality of Möhnesee in North Rhine-Westphalia, Germany, known for its scenic setting near the Möhne Reservoir.
 E875129 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: Himmelpforten | Statement: [Möhnesee, hasPart, Himmelpforten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Himmelpforten
Context triple: [Möhnesee, hasPart, Himmelpforten]
  • A. Obergerlafingen
    Obergerlafingen is a small municipality in the canton of Solothurn in northwestern Switzerland.
  • B. Obenmarspforten
    Obenmarspforten is a street in central Cologne, Germany, known for hosting cultural landmarks such as the Wallraf-Richartz Museum.
  • C. Schreckfirn
    Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
  • D. Ochsenkopf
    Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
  • E. Falkenfels
    Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of Germany.
  • 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: Himmelpforten
Triple: [Möhnesee, hasPart, Himmelpforten]
Generated description
Himmelpforten is a locality within the municipality of Möhnesee in North Rhine-Westphalia, Germany, known for its scenic setting near the Möhne Reservoir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Himmelpforten
Target entity description: Himmelpforten is a locality within the municipality of Möhnesee in North Rhine-Westphalia, Germany, known for its scenic setting near the Möhne Reservoir.
  • A. Obergerlafingen
    Obergerlafingen is a small municipality in the canton of Solothurn in northwestern Switzerland.
  • B. Obenmarspforten
    Obenmarspforten is a street in central Cologne, Germany, known for hosting cultural landmarks such as the Wallraf-Richartz Museum.
  • C. Schreckfirn
    Schreckfirn is a glacier in the Bernese Alps of Switzerland, lying on the slopes of the Schreckhorn.
  • D. Ochsenkopf
    Ochsenkopf is one of the highest and most prominent mountains in Germany’s Fichtelgebirge, known for its ski area, hiking trails, and summit broadcasting tower.
  • E. Falkenfels
    Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of Germany.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df92f8388190a8bcff96809d8eb4 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96babc290819096c0c914d038ba01 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96df03c2881909af8501ecf6ac180 completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96f063d588190adcfd56b2b0afccf completed April 10, 2026, 9:43 p.m.
Created at: April 8, 2026, 9 p.m.