Triple

T11743602
Position Surface form Disambiguated ID Type / Status
Subject Canton of Aargau E279213 entity
Predicate city P40 FINISHED
Object Zofingen
Zofingen is a historic Swiss town in the canton of Aargau known for its well-preserved old town and annual open-air festival.
 E951316 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: Zofingen | Statement: [Canton of Aargau, city, Zofingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zofingen
Context triple: [Canton of Aargau, city, Zofingen]
  • A. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • B. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • C. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • D. Zollikon
    Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
  • E. Bülach
    Bülach is a town in northern Switzerland that serves as a regional center near Zurich, known for its residential character and proximity to Zurich Airport.
  • 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: Zofingen
Triple: [Canton of Aargau, city, Zofingen]
Generated description
Zofingen is a historic Swiss town in the canton of Aargau known for its well-preserved old town and annual open-air festival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zofingen
Target entity description: Zofingen is a historic Swiss town in the canton of Aargau known for its well-preserved old town and annual open-air festival.
  • A. Waldegg
    Waldegg is a locality in Switzerland situated along the route of the A3 motorway.
  • B. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • C. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • D. Zollikon
    Zollikon is an affluent suburban municipality on the shores of Lake Zurich, known for its residential character and proximity to the city of Zurich in Switzerland.
  • E. Bülach
    Bülach is a town in northern Switzerland that serves as a regional center near Zurich, known for its residential character and proximity to Zurich Airport.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280d8f604819095823c3650adbad7 completed April 29, 2026, 10:06 p.m.
NEDg Description generation batch_69f28a8e64ac8190ba7637fd00e024bd completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28d4e341c8190abc8febc3b26a617 completed April 29, 2026, 10:59 p.m.
Created at: April 8, 2026, 9:41 p.m.