Triple

T21458236
Position Surface form Disambiguated ID Type / Status
Subject Fricktal E529397 entity
Predicate containsMunicipality P852 FINISHED
Object Hornussen
Hornussen is a small municipality in the Fricktal region of the Swiss canton of Aargau, known for its rural character and proximity to the Jura hills.
E1487965 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: Hornussen | Statement: [Fricktal, containsMunicipality, Hornussen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hornussen
Context triple: [Fricktal, containsMunicipality, Hornussen]
  • A. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • B. Hornberg
    Hornberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic landscape and traditional cuckoo clock craftsmanship.
  • C. Hohenhorn
    Hohenhorn is a small municipality in northern Germany, located in the state of Schleswig-Holstein.
  • D. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • E. Höhenberg
    Höhenberg is a subsidiary summit of the Ringelspitz massif in the Glarus Alps of eastern Switzerland.
  • 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: Hornussen
Triple: [Fricktal, containsMunicipality, Hornussen]
Generated description
Hornussen is a small municipality in the Fricktal region of the Swiss canton of Aargau, known for its rural character and proximity to the Jura hills.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hornussen
Target entity description: Hornussen is a small municipality in the Fricktal region of the Swiss canton of Aargau, known for its rural character and proximity to the Jura hills.
  • A. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • B. Hornberg
    Hornberg is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its scenic landscape and traditional cuckoo clock craftsmanship.
  • C. Hohenhorn
    Hohenhorn is a small municipality in northern Germany, located in the state of Schleswig-Holstein.
  • D. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • E. Höhenberg
    Höhenberg is a subsidiary summit of the Ringelspitz massif in the Glarus Alps of eastern Switzerland.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ec254081909a703056022f4f45 completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e12be8f481909f6f5fa9321e375e completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e20fc78c8190938ec8f40ff98772 completed May 17, 2026, 3:43 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2b77d90819083138b6cbe80eb85 completed May 17, 2026, 3:45 p.m.
Created at: April 16, 2026, 6:08 p.m.