Triple

T6487790
Position Surface form Disambiguated ID Type / Status
Subject Beuel E146557 entity
Predicate hasPart P35 FINISHED
Object Limperich
Limperich is a district of the Beuel borough in Bonn, Germany, known for its residential character along the right bank of the Rhine.
 E595684 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: Limperich | Statement: [Beuel, hasPart, Limperich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Limperich
Context triple: [Beuel, hasPart, Limperich]
  • A. Helfrich
    Helfrich is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
  • B. Neubauer
    Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
  • C. Martin Schröder
    Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
  • D. Steinbrueck
    Steinbrueck is a surname most notably associated with Victor Steinbrueck, an influential American architect and preservationist known for helping save Seattle’s Pike Place Market.
  • E. Waldeck
    Waldeck was a small German principality whose soldiers, like the Hessian troops, were hired out as auxiliaries to foreign powers in the 18th century.
  • 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: Limperich
Triple: [Beuel, hasPart, Limperich]
Generated description
Limperich is a district of the Beuel borough in Bonn, Germany, known for its residential character along the right bank of the Rhine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Limperich
Target entity description: Limperich is a district of the Beuel borough in Bonn, Germany, known for its residential character along the right bank of the Rhine.
  • A. Helfrich
    Helfrich is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
  • B. Neubauer
    Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
  • C. Martin Schröder
    Martin Schröder is a Dutch aviation entrepreneur best known as the founder of the charter airline Martinair.
  • D. Steinbrueck
    Steinbrueck is a surname most notably associated with Victor Steinbrueck, an influential American architect and preservationist known for helping save Seattle’s Pike Place Market.
  • E. Waldeck
    Waldeck was a small German principality whose soldiers, like the Hessian troops, were hired out as auxiliaries to foreign powers in the 18th century.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a96a4048190a28dee5fd9258486 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b792f48190b301cdc643db8ddf completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6545575788190acb374fcdb7f5edf completed March 27, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69c654c0cdf88190994217223fb2f77a completed March 27, 2026, 9:58 a.m.
Created at: March 22, 2026, 4:52 p.m.