Triple

T12580895
Position Surface form Disambiguated ID Type / Status
Subject Rüthen E300331 entity
Predicate hasSubdivision P747 FINISHED
Object Meiste
Meiste is a village-level subdivision of the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
 E991057 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: Meiste | Statement: [Rüthen, hasSubdivision, Meiste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meiste
Context triple: [Rüthen, hasSubdivision, Meiste]
  • A. Most
    Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
  • B. Mostagedda
    Mostagedda is an important Predynastic Egyptian archaeological site in Upper Egypt known for its cemeteries and settlements associated with the Badarian culture.
  • C. Mosty
    Mosty is a music producer known for working on J Balvin’s album "Vibras," contributing to its distinctive reggaeton and Latin urban sound.
  • D. MOST
    MOST is a science and technology museum in Syracuse, New York, featuring interactive exhibits and educational programs focused on STEM learning.
  • E. MOST
    MOST is the commonly used acronym for the Chinese Ministry of Science and Technology, the central government body responsible for national science and technology policy and innovation strategy in China.
  • 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: Meiste
Triple: [Rüthen, hasSubdivision, Meiste]
Generated description
Meiste is a village-level subdivision of the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meiste
Target entity description: Meiste is a village-level subdivision of the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • A. Most
    Most is an industrial city in the Ústí nad Labem Region of the Czech Republic, historically known for coal mining and extensive postwar urban redevelopment.
  • B. Mostagedda
    Mostagedda is an important Predynastic Egyptian archaeological site in Upper Egypt known for its cemeteries and settlements associated with the Badarian culture.
  • C. Mosty
    Mosty is a music producer known for working on J Balvin’s album "Vibras," contributing to its distinctive reggaeton and Latin urban sound.
  • D. MOST
    MOST is a science and technology museum in Syracuse, New York, featuring interactive exhibits and educational programs focused on STEM learning.
  • E. MOST
    MOST is the commonly used acronym for the Chinese Ministry of Science and Technology, the central government body responsible for national science and technology policy and innovation strategy in China.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954b97a508190b6c901c506441dd0 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6559ba5108190b85be540a405eec8 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566fe5dc8190910bc7ad34593a58 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65702435c8190a69e681c56a19b16 completed May 2, 2026, 7:56 p.m.
Created at: April 9, 2026, 5:02 p.m.