Triple

T20098979
Position Surface form Disambiguated ID Type / Status
Subject Zollernalbkreis E496480 entity
Predicate contains P35 FINISHED
Object Dietingen
Dietingen is a municipality in the German state of Baden-Württemberg, located in the Zollernalbkreis region.
E1417348 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: Dietingen | Statement: [Zollernalbkreis, contains, Dietingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dietingen
Context triple: [Zollernalbkreis, contains, Dietingen]
  • A. Dietingen
    Dietingen is a locality that forms one of the subdivisions of the municipality of Blaustein in the German state of Baden-Württemberg.
  • B. Friedlingen
    Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
  • C. Ostermundigen
    Ostermundigen is a municipality in the canton of Bern, Switzerland, functioning as a suburban community directly adjacent to the city of Bern.
  • D. Dietwil
    Dietwil is a small municipality in the canton of Aargau in Switzerland, known for its rural character and proximity to the Reuss river.
  • E. Nassfeld
    Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
  • 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: Dietingen
Triple: [Zollernalbkreis, contains, Dietingen]
Generated description
Dietingen is a municipality in the German state of Baden-Württemberg, located in the Zollernalbkreis region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dietingen
Target entity description: Dietingen is a municipality in the German state of Baden-Württemberg, located in the Zollernalbkreis region.
  • A. Dietingen
    Dietingen is a locality that forms one of the subdivisions of the municipality of Blaustein in the German state of Baden-Württemberg.
  • B. Friedlingen
    Friedlingen is a district of the German town Weil am Rhein, located in the far southwest of Baden-Württemberg near the borders with France and Switzerland.
  • C. Ostermundigen
    Ostermundigen is a municipality in the canton of Bern, Switzerland, functioning as a suburban community directly adjacent to the city of Bern.
  • D. Dietwil
    Dietwil is a small municipality in the canton of Aargau in Switzerland, known for its rural character and proximity to the Reuss river.
  • E. Nassfeld
    Nassfeld is a major ski and alpine resort area in the Austrian Alps, known for its extensive slopes and modern winter sports facilities.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666e306c81909c0ef617e0f6fccf completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843d8894481908f78e092417a8602 completed May 16, 2026, 10:15 a.m.
NEDg Description generation batch_6a0844a1f6988190bbab91201b2a0d7e completed May 16, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0845700ec48190bb59acff92e4e616 completed May 16, 2026, 10:22 a.m.
Created at: April 11, 2026, 11:26 p.m.