Triple

T12580907
Position Surface form Disambiguated ID Type / Status
Subject Rüthen E300331 entity
Predicate hasSubdivision P747 FINISHED
Object Suttrop
Suttrop is a village and district of the town of Rüthen in North Rhine-Westphalia, Germany.
 E991061 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: Suttrop | Statement: [Rüthen, hasSubdivision, Suttrop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suttrop
Context triple: [Rüthen, hasSubdivision, Suttrop]
  • A. Mellstock
    Mellstock is a fictional rural parish in Thomas Hardy’s Wessex, best known as the setting of his novel "Under the Greenwood Tree."
  • B. Scorton
    Scorton is a small rural village in Lancashire, England, known for its scenic setting near the Forest of Bowland and its surrounding countryside.
  • C. Haugesunder
    A Haugesunder is a resident or native of the coastal city of Haugesund in western Norway.
  • D. Windorf
    Windorf is a small Bavarian municipality situated along the Danube River in southeastern Germany.
  • E. Sparsholt
    Sparsholt is a small rural village in Oxfordshire, England, known for its historic parish church and traditional English countryside setting.
  • 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: Suttrop
Triple: [Rüthen, hasSubdivision, Suttrop]
Generated description
Suttrop is a village and district of the town of Rüthen in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suttrop
Target entity description: Suttrop is a village and district of the town of Rüthen in North Rhine-Westphalia, Germany.
  • A. Mellstock
    Mellstock is a fictional rural parish in Thomas Hardy’s Wessex, best known as the setting of his novel "Under the Greenwood Tree."
  • B. Scorton
    Scorton is a small rural village in Lancashire, England, known for its scenic setting near the Forest of Bowland and its surrounding countryside.
  • C. Haugesunder
    A Haugesunder is a resident or native of the coastal city of Haugesund in western Norway.
  • D. Windorf
    Windorf is a small Bavarian municipality situated along the Danube River in southeastern Germany.
  • E. Sparsholt
    Sparsholt is a small rural village in Oxfordshire, England, known for its historic parish church and traditional English countryside setting.
  • 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.