Triple

T21458237
Position Surface form Disambiguated ID Type / Status
Subject Fricktal E529397 entity
Predicate containsMunicipality P852 FINISHED
Object Münchwilen AG
Münchwilen AG is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and location within the Fricktal region.
E1485775 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: Münchwilen AG | Statement: [Fricktal, containsMunicipality, Münchwilen AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Münchwilen AG
Context triple: [Fricktal, containsMunicipality, Münchwilen AG]
  • A. Hausen AG
    Hausen AG is a municipality in the canton of Aargau in northern Switzerland.
  • B. Brugg AG
    Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
  • C. Benno Schwabe & Co.
    Benno Schwabe & Co. was a Swiss publishing house known for issuing influential scholarly and scientific works, particularly in the early to mid-20th century.
  • D. Schluchseewerk AG
    Schluchseewerk AG is a German energy company best known for operating major hydropower and pumped-storage plants in the Black Forest region.
  • E. Schenker AG
    Schenker AG is a global logistics and freight forwarding company headquartered in Germany and operating under the DB Schenker brand.
  • 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: Münchwilen AG
Triple: [Fricktal, containsMunicipality, Münchwilen AG]
Generated description
Münchwilen AG is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and location within the Fricktal region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Münchwilen AG
Target entity description: Münchwilen AG is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and location within the Fricktal region.
  • A. Hausen AG
    Hausen AG is a municipality in the canton of Aargau in northern Switzerland.
  • B. Brugg AG
    Brugg AG is a municipality in the canton of Aargau in northern Switzerland, known as a regional transport hub and local economic center.
  • C. Benno Schwabe & Co.
    Benno Schwabe & Co. was a Swiss publishing house known for issuing influential scholarly and scientific works, particularly in the early to mid-20th century.
  • D. Schluchseewerk AG
    Schluchseewerk AG is a German energy company best known for operating major hydropower and pumped-storage plants in the Black Forest region.
  • E. Schenker AG
    Schenker AG is a global logistics and freight forwarding company headquartered in Germany and operating under the DB Schenker brand.
  • 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_6a09cfec1aac8190a2d0e44aef54e7f1 completed May 17, 2026, 2:25 p.m.
NEDg Description generation batch_6a09d0b09b7c8190ada49df657da33b0 completed May 17, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_6a09d131109c81909183c84c31f66b5a completed May 17, 2026, 2:31 p.m.
Created at: April 16, 2026, 6:08 p.m.