Triple

T12446816
Position Surface form Disambiguated ID Type / Status
Subject Pattensen E297420 entity
Predicate hasSubdivision P747 FINISHED
Object Lüdersen
Lüdersen is a small village in Lower Saxony, Germany, that forms part of the town of Pattensen in the Hanover region.
E985133 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: Lüdersen | Statement: [Pattensen, hasSubdivision, Lüdersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lüdersen
Context triple: [Pattensen, hasSubdivision, Lüdersen]
  • A. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • B. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • C. Roderesch
    Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • D. Gerhardsen
    Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, 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: Lüdersen
Triple: [Pattensen, hasSubdivision, Lüdersen]
Generated description
Lüdersen is a small village in Lower Saxony, Germany, that forms part of the town of Pattensen in the Hanover region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lüdersen
Target entity description: Lüdersen is a small village in Lower Saxony, Germany, that forms part of the town of Pattensen in the Hanover region.
  • A. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • B. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • C. Roderesch
    Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
  • D. Gerhardsen
    Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d90f18c819083a36ff4b9be4a20 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f132d048190b58a8381bdc74cad completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6415f11d88190a9f77eb1890f76ef completed May 2, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69f64231606481909b8dd9d878670a6c completed May 2, 2026, 6:28 p.m.
Created at: April 8, 2026, 9:56 p.m.