Triple

T13488983
Position Surface form Disambiguated ID Type / Status
Subject Bode Gorge E318582 entity
Predicate near P350 FINISHED
Object Treseburg
Treseburg is a small village in the Harz Mountains of central Germany, known as a scenic gateway for hiking and nature tourism in the surrounding Bode Valley.
 E1043665 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: Treseburg | Statement: [Bode Gorge, near, Treseburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Treseburg
Context triple: [Bode Gorge, near, Treseburg]
  • A. Dravosburg
    Dravosburg is a small borough in Allegheny County, Pennsylvania, situated along the Monongahela River in the Pittsburgh metropolitan area.
  • B. Treuburg
    Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
  • C. Isselburg
    Isselburg is a small town in western North Rhine-Westphalia, Germany, near the Dutch border, known for its rural character and historic buildings.
  • D. Callisburg
    Callisburg is a small rural city located in Cooke County in northern Texas, United States.
  • E. Kevelaer
    Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
  • 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: Treseburg
Triple: [Bode Gorge, near, Treseburg]
Generated description
Treseburg is a small village in the Harz Mountains of central Germany, known as a scenic gateway for hiking and nature tourism in the surrounding Bode Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Treseburg
Target entity description: Treseburg is a small village in the Harz Mountains of central Germany, known as a scenic gateway for hiking and nature tourism in the surrounding Bode Valley.
  • A. Dravosburg
    Dravosburg is a small borough in Allegheny County, Pennsylvania, situated along the Monongahela River in the Pittsburgh metropolitan area.
  • B. Treuburg
    Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
  • C. Isselburg
    Isselburg is a small town in western North Rhine-Westphalia, Germany, near the Dutch border, known for its rural character and historic buildings.
  • D. Callisburg
    Callisburg is a small rural city located in Cooke County in northern Texas, United States.
  • E. Kevelaer
    Kevelaer is a renowned German pilgrimage town in North Rhine-Westphalia, famous as one of Europe’s most important Marian shrines and a major destination for Catholic pilgrims.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3cbe2081908c6792362c67c8f1 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463b758c8190abc0dd2a049d751e completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74d048250819098baf78ff08c1633 completed May 3, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69f750f7f11481908c60b49eef65b63f completed May 3, 2026, 1:43 p.m.
Created at: April 9, 2026, 9:43 p.m.