Triple

T12446810
Position Surface form Disambiguated ID Type / Status
Subject Pattensen E297420 entity
Predicate hasSubdivision P747 FINISHED
Object Jeinsen
Jeinsen is a village and district of the town of Pattensen in Lower Saxony, Germany.
E985129 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: Jeinsen | Statement: [Pattensen, hasSubdivision, Jeinsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeinsen
Context triple: [Pattensen, hasSubdivision, Jeinsen]
  • A. Jasseines
    Jasseines is a small commune in the Aube department of north-central France, situated within the canton of Brienne-le-Château.
  • B. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • C. Jenssen
    Jenssen is a Scandinavian surname, particularly common in Norway, that originated as a patronymic form meaning "son of Jens."
  • D. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • E. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • 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: Jeinsen
Triple: [Pattensen, hasSubdivision, Jeinsen]
Generated description
Jeinsen is a village and district of the town of Pattensen in Lower Saxony, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeinsen
Target entity description: Jeinsen is a village and district of the town of Pattensen in Lower Saxony, Germany.
  • A. Jasseines
    Jasseines is a small commune in the Aube department of north-central France, situated within the canton of Brienne-le-Château.
  • B. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • C. Jenssen
    Jenssen is a Scandinavian surname, particularly common in Norway, that originated as a patronymic form meaning "son of Jens."
  • D. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • E. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • 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.