Triple

T6186014
Position Surface form Disambiguated ID Type / Status
Subject Schwerin E138060 entity
Predicate hasMayor P185 FINISHED
Object Rico Badenschier
Rico Badenschier is a German politician who serves as the mayor of the city of Schwerin.
 E572400 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: Rico Badenschier | Statement: [Schwerin, hasMayor, Rico Badenschier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rico Badenschier
Context triple: [Schwerin, hasMayor, Rico Badenschier]
  • A. Marc Streitenfeld
    Marc Streitenfeld is a German film score composer best known for his frequent collaborations with director Ridley Scott on major Hollywood films.
  • B. Albin Schelbert
    Albin Schelbert is a mountaineer known for being part of the team that made the first successful ascent of Dhaulagiri, one of the world’s highest peaks.
  • C. Matthias Ringmann
    Matthias Ringmann was a German humanist scholar and cartographer best known for helping name the continent America through his collaboration on the 1507 Waldseemüller world map.
  • D. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • E. John Rädecker
    John Rädecker was a Dutch sculptor best known for his expressive, symbolist-influenced monumental works in the early 20th 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: Rico Badenschier
Triple: [Schwerin, hasMayor, Rico Badenschier]
Generated description
Rico Badenschier is a German politician who serves as the mayor of the city of Schwerin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rico Badenschier
Target entity description: Rico Badenschier is a German politician who serves as the mayor of the city of Schwerin.
  • A. Marc Streitenfeld
    Marc Streitenfeld is a German film score composer best known for his frequent collaborations with director Ridley Scott on major Hollywood films.
  • B. Albin Schelbert
    Albin Schelbert is a mountaineer known for being part of the team that made the first successful ascent of Dhaulagiri, one of the world’s highest peaks.
  • C. Matthias Ringmann
    Matthias Ringmann was a German humanist scholar and cartographer best known for helping name the continent America through his collaboration on the 1507 Waldseemüller world map.
  • D. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • E. John Rädecker
    John Rädecker was a Dutch sculptor best known for his expressive, symbolist-influenced monumental works in the early 20th 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062150fc48190877240abe6b6c636 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141ca916c8190bd1ca46f2b8c9c18 completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c1453b3db48190947260bd4431e8d7 completed March 23, 2026, 1:50 p.m.
NED2 Entity disambiguation (via description) batch_69c145c93c1c819096feefc952ba1301 completed March 23, 2026, 1:53 p.m.
Created at: March 22, 2026, 4:19 p.m.