Triple

T2438782
Position Surface form Disambiguated ID Type / Status
Subject Bad Honnef E53223 entity
Predicate hasIsland P970 FINISHED
Object Nonnenwerth
Nonnenwerth is a small Rhine River island in Germany known for its historic monastery and scenic location near Bad Honnef.
E266856 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: Nonnenwerth | Statement: [Bad Honnef, hasIsland, Nonnenwerth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nonnenwerth
Context triple: [Bad Honnef, hasIsland, Nonnenwerth]
  • A. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • B. Nicholl
    Nicholl is a surname of British origin, often considered a variant of the name Nicol or Nicholas.
  • C. Southery
    Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
  • D. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • E. Dinneen
    Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • 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: Nonnenwerth
Triple: [Bad Honnef, hasIsland, Nonnenwerth]
Generated description
Nonnenwerth is a small Rhine River island in Germany known for its historic monastery and scenic location near Bad Honnef.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nonnenwerth
Target entity description: Nonnenwerth is a small Rhine River island in Germany known for its historic monastery and scenic location near Bad Honnef.
  • A. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • B. Nicholl
    Nicholl is a surname of British origin, often considered a variant of the name Nicol or Nicholas.
  • C. Southery
    Southery is a village and civil parish in Norfolk, England, situated in the Fens near the River Great Ouse.
  • D. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • E. Dinneen
    Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f62ad081909373134c5adf65d9 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0b0e920819088bd7ee3684c81fe completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef4d2cd3c81908773ac7ff9e4b28d completed March 9, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69aef54c3f1c819085019bd8e48d7db7 completed March 9, 2026, 4:29 p.m.
Created at: March 6, 2026, 9:43 p.m.