Triple

T10629751
Position Surface form Disambiguated ID Type / Status
Subject Möhnesee E250420 entity
Predicate hasPart P35 FINISHED
Object Wamel
Wamel is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
 E875772 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: Wamel | Statement: [Möhnesee, hasPart, Wamel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wamel
Context triple: [Möhnesee, hasPart, Wamel]
  • A. Weme
    Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
  • B. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • C. Wasmer
    Wasmer is a WebAssembly runtime that enables running WebAssembly modules efficiently across different platforms and programming languages.
  • D. Hama
    Hama is a major city in west-central Syria, historically known for its ancient waterwheels (norias) on the Orontes River and its role as an important agricultural and industrial center.
  • E. Wolio
    Wolio is an Austronesian language spoken primarily by the Wolio people on Buton Island in Southeast Sulawesi, Indonesia.
  • 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: Wamel
Triple: [Möhnesee, hasPart, Wamel]
Generated description
Wamel is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wamel
Target entity description: Wamel is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
  • A. Weme
    Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
  • B. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • C. Wasmer
    Wasmer is a WebAssembly runtime that enables running WebAssembly modules efficiently across different platforms and programming languages.
  • D. Hama
    Hama is a major city in west-central Syria, historically known for its ancient waterwheels (norias) on the Orontes River and its role as an important agricultural and industrial center.
  • E. Wolio
    Wolio is an Austronesian language spoken primarily by the Wolio people on Buton Island in Southeast Sulawesi, Indonesia.
  • 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_69d96def8bfc81909d6a5addf724691b completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96fedb18881908570593856f4aade completed April 10, 2026, 9:47 p.m.
Created at: April 8, 2026, 9 p.m.