Triple

T20236200
Position Surface form Disambiguated ID Type / Status
Subject Gerstetten E498153 entity
Predicate hasSubdivision P747 FINISHED
Object Sontbergen
Sontbergen is a small locality that forms part of the municipality of Gerstetten in the German state of Baden-Württemberg.
E1419755 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: Sontbergen | Statement: [Gerstetten, hasSubdivision, Sontbergen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sontbergen
Context triple: [Gerstetten, hasSubdivision, Sontbergen]
  • A. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • B. Steenbergen
    Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
  • C. Sörenberg
    Sörenberg is a Swiss alpine village and ski resort in the canton of Lucerne, known for its scenic mountain landscapes and outdoor activities year-round.
  • D. Kolderbos
    Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
  • E. Evertsen
    Evertsen is a Dutch surname historically associated with a prominent family of naval officers in the Dutch Republic.
  • 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: Sontbergen
Triple: [Gerstetten, hasSubdivision, Sontbergen]
Generated description
Sontbergen is a small locality that forms part of the municipality of Gerstetten in the German state of Baden-Württemberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sontbergen
Target entity description: Sontbergen is a small locality that forms part of the municipality of Gerstetten in the German state of Baden-Württemberg.
  • A. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • B. Steenbergen
    Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
  • C. Sörenberg
    Sörenberg is a Swiss alpine village and ski resort in the canton of Lucerne, known for its scenic mountain landscapes and outdoor activities year-round.
  • D. Kolderbos
    Kolderbos is a residential district of the Belgian city of Genk, known for its post-war social housing and multicultural community.
  • E. Evertsen
    Evertsen is a Dutch surname historically associated with a prominent family of naval officers in the Dutch Republic.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716a5af0819095ea419a4d1f0d1d completed April 20, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b90635c8190b7452042a4dcc271 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084d86121c8190bba37790a114cfae completed May 16, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a084dded4908190a63889b4c382d76f completed May 16, 2026, 10:58 a.m.
Created at: April 11, 2026, 11:40 p.m.