Triple

T10755703
Position Surface form Disambiguated ID Type / Status
Subject Hanseatic city of Deventer E253686 entity
Predicate hasMayor P185 FINISHED
Object Ron König
Ron König is a Dutch politician who serves as the mayor of the historic Hanseatic city of Deventer in the Netherlands.
 E884482 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: Ron König | Statement: [Hanseatic city of Deventer, hasMayor, Ron König]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ron König
Context triple: [Hanseatic city of Deventer, hasMayor, Ron König]
  • A. Michael König
    Michael König is a German name shared by several notable individuals, including actors, musicians, and athletes.
  • B. Richard König
    Richard König is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
  • C. Marcus König
    Marcus König is a German politician who serves as the mayor of the Bavarian city of Fürth.
  • D. Peter König
    Peter König is a German mathematician known for his contributions to graph theory, particularly König's theorem on bipartite graphs.
  • E. Erwin König
    Erwin König is a purported German sniper officer, often considered apocryphal, who is best known from the film "Enemy at the Gates" as the elite Wehrmacht marksman dueling Soviet sniper Vasily Zaitsev at Stalingrad.
  • 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: Ron König
Triple: [Hanseatic city of Deventer, hasMayor, Ron König]
Generated description
Ron König is a Dutch politician who serves as the mayor of the historic Hanseatic city of Deventer in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ron König
Target entity description: Ron König is a Dutch politician who serves as the mayor of the historic Hanseatic city of Deventer in the Netherlands.
  • A. Michael König
    Michael König is a German name shared by several notable individuals, including actors, musicians, and athletes.
  • B. Richard König
    Richard König is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
  • C. Marcus König
    Marcus König is a German politician who serves as the mayor of the Bavarian city of Fürth.
  • D. Peter König
    Peter König is a German mathematician known for his contributions to graph theory, particularly König's theorem on bipartite graphs.
  • E. Erwin König
    Erwin König is a purported German sniper officer, often considered apocryphal, who is best known from the film "Enemy at the Gates" as the elite Wehrmacht marksman dueling Soviet sniper Vasily Zaitsev at Stalingrad.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72e9e224c819099d16aba77322812 completed April 9, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2338b2cc8190ad40ff9a421a4152 completed April 14, 2026, 11:21 a.m.
NEDg Description generation batch_69de271ee56c81908d2f690f31c2d2db completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2dff4a048190823c8b5f1f7ea548 completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:15 p.m.