Triple

T21287757
Position Surface form Disambiguated ID Type / Status
Subject Diepholz district E524705 entity
Predicate contains P35 FINISHED
Object Eydelstedt
Eydelstedt is a small municipality in Lower Saxony, Germany, known for its rural character and location within the broader Diepholz region.
E1477938 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: Eydelstedt | Statement: [Diepholz district, contains, Eydelstedt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eydelstedt
Context triple: [Diepholz district, contains, Eydelstedt]
  • A. Schmedenstedt
    Schmedenstedt is a village and district within the town of Peine in Lower Saxony, Germany.
  • B. Elsterberg
    Elsterberg is a small town in the Vogtland region of Saxony, Germany, known for its historic castle ruins and scenic location along the White Elster River.
  • C. Walstedde
    Walstedde is a village and district within the town of Drensteinfurt in North Rhine-Westphalia, Germany.
  • D. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • E. Hollenstedt
    Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
  • 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: Eydelstedt
Triple: [Diepholz district, contains, Eydelstedt]
Generated description
Eydelstedt is a small municipality in Lower Saxony, Germany, known for its rural character and location within the broader Diepholz region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eydelstedt
Target entity description: Eydelstedt is a small municipality in Lower Saxony, Germany, known for its rural character and location within the broader Diepholz region.
  • A. Schmedenstedt
    Schmedenstedt is a village and district within the town of Peine in Lower Saxony, Germany.
  • B. Elsterberg
    Elsterberg is a small town in the Vogtland region of Saxony, Germany, known for its historic castle ruins and scenic location along the White Elster River.
  • C. Walstedde
    Walstedde is a village and district within the town of Drensteinfurt in North Rhine-Westphalia, Germany.
  • D. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • E. Hollenstedt
    Hollenstedt is a municipality in Lower Saxony, Germany, located in the district of Harburg southwest of Hamburg.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ecd1028819083142cd48f23af6d completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a09a00a019881908bffa0f23e7527b4 completed May 17, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_6a09a0ca5c988190adb34c37c54737cc completed May 17, 2026, 11:04 a.m.
Created at: April 16, 2026, 4:03 p.m.