Triple

T6824054
Position Surface form Disambiguated ID Type / Status
Subject Neckarau E156969 entity
Predicate adjacentTo P224 FINISHED
Object Ketsch
Ketsch is a municipality in the Rhine-Neckar region of southwestern Germany, located in the state of Baden-Württemberg.
 E622292 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: Ketsch | Statement: [Neckarau, adjacentTo, Ketsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ketsch
Context triple: [Neckarau, adjacentTo, Ketsch]
  • A. Oberkrämer
    Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
  • B. Oels
    Oels is a town in present-day Oleśnica, Poland, historically part of Silesia and known as the birthplace of notable figures such as the German artist Sigmar Polke.
  • C. Ternat
    Ternat is a municipality in the Flemish Brabant province of Belgium, known for its suburban character and proximity to Brussels.
  • D. Maschteich
    Maschteich is an artificial pond in Hanover, Germany, situated in the Maschpark near the New Town Hall and known for its scenic urban green setting.
  • E. Bega
    Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
  • 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: Ketsch
Triple: [Neckarau, adjacentTo, Ketsch]
Generated description
Ketsch is a municipality in the Rhine-Neckar region of southwestern Germany, located in the state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ketsch
Target entity description: Ketsch is a municipality in the Rhine-Neckar region of southwestern Germany, located in the state of Baden-Württemberg.
  • A. Oberkrämer
    Oberkrämer is a rural municipality in the Oberhavel district of Brandenburg, Germany, known for its villages, agricultural landscape, and proximity to Berlin.
  • B. Oels
    Oels is a town in present-day Oleśnica, Poland, historically part of Silesia and known as the birthplace of notable figures such as the German artist Sigmar Polke.
  • C. Ternat
    Ternat is a municipality in the Flemish Brabant province of Belgium, known for its suburban character and proximity to Brussels.
  • D. Maschteich
    Maschteich is an artificial pond in Hanover, Germany, situated in the Maschpark near the New Town Hall and known for its scenic urban green setting.
  • E. Bega
    Bega is a rural town in New South Wales, Australia, best known as a major dairy and cheese-producing centre.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d580ca448190aa6d52908ca50e39 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723ee0e94819095a678e1073869d5 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c7254674008190972b4f8619b28776 completed March 28, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_69c725be2ad881908e97017baabbd854 completed March 28, 2026, 12:50 a.m.
Created at: March 27, 2026, 2:18 p.m.