Triple

T17252629
Position Surface form Disambiguated ID Type / Status
Subject Bietigheim-Bissingen E418793 entity
Predicate hasMayor P185 FINISHED
Object Jürgen Kessing
Jürgen Kessing is a German politician who serves as the long-time mayor of the town of Bietigheim-Bissingen in Baden-Württemberg.
E1259878 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: Jürgen Kessing | Statement: [Bietigheim-Bissingen, hasMayor, Jürgen Kessing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jürgen Kessing
Context triple: [Bietigheim-Bissingen, hasMayor, Jürgen Kessing]
  • A. Klaus Kiessler
    Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
  • B. Jochen Kuttler
    Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
  • C. Jürgen Schmidt
    Jürgen Schmidt is a personal name shared by multiple individuals, including professionals and public figures in German-speaking countries.
  • D. Holger Weise
    Holger Weise is a German local politician who serves as the mayor of the municipality of Steinheim am Albuch in Baden-Württemberg.
  • E. Klaus Thiel
    Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
  • 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: Jürgen Kessing
Triple: [Bietigheim-Bissingen, hasMayor, Jürgen Kessing]
Generated description
Jürgen Kessing is a German politician who serves as the long-time mayor of the town of Bietigheim-Bissingen in Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jürgen Kessing
Target entity description: Jürgen Kessing is a German politician who serves as the long-time mayor of the town of Bietigheim-Bissingen in Baden-Württemberg.
  • A. Klaus Kiessler
    Klaus Kiessler is a German architect known for designing the main building of the Topography of Terror documentation center in Berlin.
  • B. Jochen Kuttler
    Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
  • C. Jürgen Schmidt
    Jürgen Schmidt is a personal name shared by multiple individuals, including professionals and public figures in German-speaking countries.
  • D. Holger Weise
    Holger Weise is a German local politician who serves as the mayor of the municipality of Steinheim am Albuch in Baden-Württemberg.
  • E. Klaus Thiel
    Klaus Thiel is a German athlete known for competing in racewalking at international track and field events.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6a1b648190a8bb2deb67bbdfdc completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017942ae108190ac6ec61514ba58b4 completed May 11, 2026, 6:37 a.m.
NEDg Description generation batch_6a0179c9ba48819087532aecec8c0340 completed May 11, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a017ac2fe848190a3a585cd2fd1a05b completed May 11, 2026, 6:44 a.m.
Created at: April 10, 2026, 5:39 a.m.